Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of this role is to provide significant technical expertise in architecture planning and design of the concerned tower (platform, database, middleware, backup etc) as well as managing its day-to-day operations ͏ Do Provide adequate support in architecture planning, migration & installation for new projects in own tower (platform/dbase/ middleware/ backup) Lead the structural/ architectural design of a platform/ middleware/ database/ back up etc. according to various system requirements to ensure a highly scalable and extensible solution Conduct technology capacity planning by reviewing the current and future requirements Utilize and leverage the new features of all underlying technologies to ensure smooth functioning of the installed databases and applications/ platforms, as applicable Strategize & implement disaster recovery plans and create and implement backup and recovery plans Manage the day-to-day operations of the tower Manage day-to-day operations by troubleshooting any issues, conducting root cause analysis (RCA) and developing fixes to avoid similar issues. Plan for and manage upgradations, migration, maintenance, backup, installation and configuration functions for own tower Review the technical performance of own tower and deploy ways to improve efficiency, fine tune performance and reduce performance challenges Develop shift roster for the team to ensure no disruption in the tower Create and update SOPs, Data Responsibility Matrices, operations manuals, daily test plans, data architecture guidance etc. Provide weekly status reports to the client leadership team, internal stakeholders on database activities w.r.t. progress, updates, status, and next steps Leverage technology to develop Service Improvement Plan (SIP) through automation and other initiatives for higher efficiency and effectiveness ͏ Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Train direct reportees to make right recruitment and selection decisions Talent Management Ensure 100% compliance to Wipro’s standards of adequate onboarding and training for team members to enhance capability & effectiveness Build an internal talent pool of HiPos and ensure their career progression within the organization Promote diversity in leadership positions Performance Management Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports. Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Proactively challenge the team with larger and enriching projects/ initiatives for the organization or team Exercise employee recognition and appreciation ͏ Deliver No Performance Parameter Measure 1 Operations of the tower SLA adherence Knowledge management CSAT/ Customer Experience Identification of risk issues and mitigation plans Knowledge management 2 New projects Timely delivery Avoid unauthorised changes No formal escalations ͏ Mandatory Skills: SAS ADMIN. Experience: 5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Job requisition ID :: 83623 Date: Jun 4, 2025 Location: Delhi Designation: Manager Entity: Job Description- Roles and Responsibilities : At Deloitte, you are expected to contribute to the firm's growth and development in a variety of ways, including: • Assist client in identifying and evaluating business and technology risks, internal controls which mitigate risks, and related opportunities for internal control improvement • Assist in the selection and tailoring of approaches, methods, and tools to support service offering or industry projects • Facilitate use of technology-based tools or methodologies to review, design, and/or implement products and services • Understand clients' business environment and basic risk management approaches • Project Management : o Actively participate in decision making with engagement management and seek to understand the broader impact of current decisions o Play substantive/lead role and engagement planning, economics, and billing o Generate innovative ideas and challenge the status quo o Participate in proposal development efforts o Participate in "add-on" sales to client o Membership and visibility in professional & civic organizations o Identify opportunities to cross-sell other services o Build and nurture positive working relationships with clients with the intention to exceed client expectations Eligibility criteria and requirements: • B.E/B.Tech in Computer Science, Information Technology or related fields. Chartered Accountant and/or MBA with Finance/IT • Must have 1 - 8 years of experience in the areas of IT audits, ITGC, SOX / ICFR / IFC / SAS 70 / SSAE / SOC, IT Financial Audit and Business Automated Controls, IT Risk consulting or any other • regulatory / compliance audits • Hands-on experience in the multiple areas of IT audits, SSAE / SOC- 1 and 2, and Business Automated Controls, IT Risk consulting or any other regulatory / compliance audits. • Knowledge of ERP’s like SAP / OFIN / JDE / etc and their native application controls will be • preferred. • Must have hands on experience on regulatory requirements / international standards (SSAE / ISAE / SOX, PCI, ISO 27001) and good practices (COSO, COBIT) relating to information security. • Must have Excellent English skills, excellent presentation skills, excellent soft-skills • Team Management skill is mandatory

The Statistical Programmer II provides technical expertise for the conduct of clinical trials, and works with minimal supervision to support various programming activities related to the analysis and reporting of clinical study data. In addition, the Statistical Programmer II may fill the Statistical Programming Lead role (or part of that role) on small, non-complex projects. This role supports the generation of real-world evidence (RWE) by programming and analyzing large-scale observational datasets. The ideal candidate will have strong SAS programming skills, familiarity with R, and experience working with healthcare claims, electronic health records (EHR), or registry data. Key Accountabilities: Project Management: Assist in the coordination of project start-up activities, creation of global programs, tracking spreadsheets, and other required documentation. Statistical Programming for Assigned Projects: Deliver best value and high quality service. Check own work in an ongoing way to ensure first-time quality. Use efficient programming techniques to produce derived datasets (e.g. SDTM, ADaM), tables, figures, and data listings of any complexity and QC low-medium complexity derived datasets, tables, figures, and data listings. Assist in the production/QC of derived dataset specifications and other process supporting documents and submission documentation. Training: Maintain and expand local and international regulatory knowledge within the clinical industry. Develop knowledge of SAS and processes/procedures within other Parexel functional areas. Provide relevant training and mentorship to staff and project teams as appropriate. General: Develop, validate, and maintain SAS and R programs to support RWD analyses, including prevalence, treatment patterns, cost/utilization, and time-to-event studies Execute programming tasks using Client standard macros and environments within UNIX and AWS-based platforms Perform double programming and quality control (QC) checks in alignment with internal SOPs and KIMS system workflows Collaborate with statisticians, data scientists, and cross-functional teams to define specifications and deliverables Document programming processes and outputs in accordance with regulatory and internal audit requirements Contribute to the development and maintenance of internal R packages, Shiny apps, and Quarto documentation to support programming workflows Participate in onboarding and mentoring of new programmers, including training on client-specific tools and data environments Skills: Excellent analytical skills. Proficiency in SAS; working knowledge of R is highly desirable 3+ years of experience in statistical programming, preferably in a pharmaceutical or healthcare setting Knowledge and understanding of the programming and reporting process. Knowledge of SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations such as 21 CFR Part 11. Familiarity with real-world data sources such as Optum, MarketScan, Flatiron, CPRD, or similar Experience with Snowflake, UNIX/Linux environments, and version control tools (e.g., Git). Strong understanding of data privacy, regulatory compliance, and audit-readiness in RWD contexts Ability to learn new systems and function in an evolving technical environment. Ability to manage competing priorities and flexibility to change. Attention to detail. Ability to successfully work as part of a global team. Work effectively in a quality-focused environment. Effective time management in order to meet daily metrics or team objectives. Show commitment to and perform consistently high quality work. Business/operational skills that include customer focus, commitment to quality management, and problem solving. Knowledge and Experience: Competent in written and oral English. Good communication skills. Experience with OMOP/OHDSI standards and tools Exposure to project management tools like Monday.com Ability to work independently and manage multiple priorities in a fast-paced environment Education: Educated to degree level in a relevant discipline and/or equivalent work experience; Bachelor’s or Master’s degree in Statistics, Computer Science, Epidemiology preferred. #LI-REMOTE

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Overview of the Business: The Global Services (GS) is comprised of several interconnected business units which collectively provide service on a global scale, playing a central role in helping American Express achieve its vision of being the world’s most respected service brand. As part of GS, the Global Servicing Enablement (GSE) team is responsible for process design & engineering, capacity management, governance, analytics, value generation and learning across GSG. The team is accountable for providing unwavering support to all our Customer Care Professionals and Specialists who serve our customers globally every day. GSE is also responsible for the Enterprise Complaint Center of Excellence chartered with ensuring American Express has a robust complaints management program. The position is in Global Planning and Contact Optimization(GPCO) . GPCO is responsible for Capacity/staff planning, and real time performance management & monitoring for GS across various markets globally. The group executes plans built by the Forecasting & Business Planning teams and manages 24/7 real-time performance in the voice and digital channels. The group ensures that robust schedules are designed to meet the demand of daily operations. The schedules are aligned to intraday/intraweek call volume distributions for all markets and lines of business. As a part of the team, you will be responsible for the following: Intra-day call type/segment performance management Shrinkage / off the phone activities management, Intraday Schedules management and recommend schedule changes basis business requirement Execution of Service Code Alert strategies Centralized contact for operations leaders for real time business performance management Work with Short Term Forecasting Team for Intra Day Performance (IDP) & Staffing outlook Communicate systems, voice response & telecommunication issues to the relevant teams Proactively identify process improvement opportunities Maintain strong relationships with the operation’s leaders to improve overall understanding and awareness of daily/weekly business impacts Shift Rotations: 24 *7 Minimum Qualifications Functional skills: Bachelor’s degree (Economics / Mathematics / Statistics/ Data Analytics); MBA or equivalent is a plus 2+ years of relevant experience in Workforce real time management/ Operations/MIS analytics would be preferred Proficiency in Workforce Management Tools such as Avaya, eWFM, Genesys/ConneX as well as understanding of call center volume drivers and forecasting/workforce planning processes would be an added advantage Strong written and verbal communication skills with demonstrated success in creating and conducting presentations to large / senior / challenging audiences, a plus Strong organizational and project management skills Proven ability to manage multiple priorities effectively with a track record of driving results effectively while meeting deadlines Strong relationship and collaboration skills, including the ability to work in a highly matrixed environment Behavioral Skills/Capabilities: Delivers high quality work with direction and oversight Understands work goals and seeks to understand its importance to the Business Feels comfortable taking decisions/ calculated risks based on facts and intuition Flexible to quickly adjust around shifting priorities, multiple demands, ambiguity, and rapid change Maintains a positive attitude when presented with a barrier Demonstrated ability to challenge the status quo & build consensus Effective team player with a high level of integrity Technical Skills/ Knowledge of platforms: Proficiency with Microsoft Office, especially Excel, and PowerPoint Project management skills, knowledge and experience of successfully leading projects, a plus Ability to handle large data sets & prior programming experience in SAS, SQL, Python and/or HQL (Hive Query Language) to write codes independently and efficiently will be useful Knowledge of machine learning will be an added advantage Exposure to Big Data Platforms such Cornerstone & visualization tools such Tableau, a nice to have We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

About the Opportunity Job Type: Permanent Application Deadline: 21 June 2025 Title Senior Analyst- Data Scientist Department Data Value Location Gurgaon Reports To Suman Kaur Level 3 We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our Data Value team and feel like you’re part of something bigger. About your team Data Value team drives the renewed focus of extracting value from Fidelity’s data for business and client insights and working as one voice with the business, technology, and data teams. The team’s vision is to create measurable business impact by leveraging technology and utilising the skills to generate valuable insights and streamline engagements. The Data Science function within Data Value supports Fidelity International’s Sales, Marketing, Propositions, Risk, Finance, Customer Service and HR teams across the globe. The key objectives of the function are: To develop deep customer insights for our businesses helping them segment and target customers more effectively To develop a fact-based understanding of sales trends and identify actionable sales growth opportunities for each of our sales channels To understand customer preferences in terms of products, service attributes and marketing activity to help refine each of these To help develop new services lines e.g. develop customer analytics for key IFAs, DC Clients, Individual clients etc. To develop market and competitive intelligence in our key markets to help shape our business planning in those markets The function works directly with business heads and other senior stakeholder’s stakeholders to identify areas of analytics, define problem statements and develop key insights. About your role You will be expected to take a leading role in developing the Data Science and Advanced Analytics solutions for our business. This will involve: Engaging with the key stakeholders to understand Fidelity’s sales, marketing, client services and propositions context Implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts and engage with internal and external ecosystem to progress the proof of concepts to production. Engaging and collaborating with different other internal teams like Data engineering, DevOps, technology team etc for development of new tools, capabilities, and solutions. Maximize Adoption of Cloud Based advanced analytics solutions: Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce. About you Key Responsibilities Developing and Delivering Data Science solutions for business (40%) Partner with internal (FIL teams) & external ecosystem to design and deliver advanced analytics enabled Data Science solutions Create advanced analytics solution on quantitative and text data using Artificial Intelligence, Machine Learning and NLP techniques. Create compelling visualisations that enable the smooth consumption of predictions and insights for customer benefit .Stakeholder Management (30%) Works with channel heads/stakeholders and other sponsors understand the business problem and translate it into appropriate analytics solution. Engages with key stakeholders for smooth execution, delivery, and implementation of solutions Adoption of Cloud enabled Data Science solutions: (20%) Maximize Adoption of Cloud Based advanced analytics solution Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce Deploy solutions in productions while adhering to best practices involving Model Explainability, MLOps, Feature Stores, Model Management, Responsible AI etc Collaboration and Ownership (10%) Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations Takes complete independent ownership of the projects and the initiatives in the team with the minimal support Experience and Qualifications Required Qualifications: Engineer from IIT/Master’s in field related to Data Science/Economics/Mathematics (Tie1 Institutions like ISI, Delhi School of Economics)/M.B.A from tier 1 institutions Must have Skills & Experience Required: Overall, 8+ years of experience in Data Science and Analytics 5+ years of hands-on experience in - Statistical Modelling /Machine Learning Techniques/Natural Language Processing/Deep Learning 5+ years of experience in Python/Machine Learning/Deep Learning Excellent problem-solving skills Should be able to run analytics applications such as Python, SAS and interpret statistical results Implementation of models with clear measurable outcomes Good to have Skills & Experience Required: Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights to stakeholders. Experience on SPARK/Hadoop/Big Data Platforms is a plus Experience with unstructured data and big data Experience with secondary data and knowledge of primary market research is a plus. Ability to independently own and manage the projects with minimal support. Excellent analytical skills and a strong sense for structure and logic Ability to develop, test and validate hypotheses. Feel rewarded For starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

Description Support Engineer- Transportation Fin Tech Business onboarding Transportation Financial Systems (TFS) owns the technology components that perform the financial activities for transportation business. These systems are used across all transportation programs and retail expansion to new geographies. TFS systems provide financial document creation & management, expense auditing, accounting, payments and cost allocation functions. Our new generation products are highly scalable and operate at finer level granularity to reconcile every dollar in transportation financial accounts with zero manual entries or corrections. The goal is to develop global product suite for all freight modes touching every single package movement across Amazon. Our mission is to abstract logistics complexities from financial world and financial complexities from logistics world. There are ample opportunities in the team to build domain expertise in financial system as well as transportation. Primary responsibilities include troubleshooting, diagnosing and fixing production software issues, developing monitoring solutions, performing software maintenance and configuration, implementing the fix for internally developed code (Perl, Ruby, Java), performing SQL queries, updating, tracking and resolving technical challenges. Functional end to end testing and debugging the issues for financial automation, creating infrastructure stack setup for financial programs. Responsibilities also include working alongside development on Amazon Corporate and Divisional Software projects, updating/enhancing our current software, automation of support processes and documentation of our systems. The ideal candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, able to juggle multiple tasks at once, able to work independently and can maintain professionalism under pressure. You must be able to identify problems before they happen and implement solutions that detect and prevent outages. You must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience, and get the right things done. Key job responsibilities Key job responsibilities Primary responsibilities include troubleshooting, diagnosing and fixing production software issues, developing monitoring solutions, performing software maintenance and configuration, implementing the fix for internally developed code (Perl, Ruby, Java), performing SQL queries, updating, tracking and resolving technical challenges. Functional end to end testing and debugging the issues for financial automation, creating infrastructure stack setup for financial programs. Responsibilities also include working alongside development on Amazon Corporate and Divisional Software projects, updating/enhancing our current software, automation of support processes and documentation of our systems. A day in the life Understanding the customer requirements for functional testing, implementing configurations as per the program launches, raising the CRs, MCM executions. Identify the right test cases as per the program and execute the functional test cases. Understanding and leveraging the internal automation tools for testing and fixing the issues and develop the necessary code changes to enhance the tool Resolve compliance issues such as SAS, Shepherd risks on services identified with in timelines Participating daily sprint exercises and updating the project status Enhance the knowledge for new features and capabilities that are planned for functional end to end testing Basic Qualifications 4+ years of software development, or 4+ years of technical support experience Experience scripting in modern program languages Experience troubleshooting and debugging technical systems Experience in agile/scrum or related collaborative workflow Experience troubleshooting and documenting findings Preferred Qualifications Knowledge of distributed applications/enterprise applications Knowledge of UNIX/Linux operating system Experience analyzing and troubleshooting RESTful web API calls Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A2981925 Show more Show less

The Data Science Analyst 2 is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team. Responsibilities: The Data Engineer is responsible for building Data Engineering Solutions using next generation data techniques. The individual will be working with tech leads, product owners, customers and technologists to deliver data products/solutions in a collaborative and agile environment. Responsible for design and development of big data solutions. Partner with domain experts, product managers, analyst, and data scientists to develop Big Data pipelines in Hadoop Responsible for moving all legacy workloads to cloud platform Work with data scientist to build Client pipelines using heterogeneous sources and provide engineering services for data science applications Ensure automation through CI/CD across platforms both in cloud and on-premises Define needs around maintainability, testability, performance, security, quality and usability for data platform Drive implementation, consistent patterns, reusable components, and coding standards for data engineering processes Convert SAS based pipelines into languages like PySpark, Scala to execute on Hadoop, Snowflake and non-Hadoop ecosystems Tune Big data applications on Hadoop, Cloud and non-Hadoop platforms for optimal performance Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinates and contributes to the objectives of the entire function. Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/taken. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 2-4 years of total IT experience Experience with Hadoop (Cloudera)/big data technologies /Cloud/AI tools Hands-on experience with HDFS, MapReduce, Hive, Impala, Spark, Kafka, Kudu, Kubernetes, Dashboard tools, Snowflake builts, AWS tools, AI/ML libraries and tools, etc) Experience on designing and developing Data Pipelines for Data Ingestion or Transformation. System level understanding - Data structures, algorithms, distributed storage & compute tools, SQL expertise, Shell scripting, Schedule tools, Scrum/Agile methodologies. Can-do attitude on solving complex business problems, good interpersonal and teamwork skills Education: Bachelor’s/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. - Job Family Group: Technology - Job Family: Data Science - Time Type: Full time - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Date live: 06/02/2025 Business Area: Physical Operations Area of Expertise: Technology Contract: Permanent Reference Code: JR-0000046220 Be a part of a place where challenges are measured in billions, qubits and nanoseconds. Build your career in an environment where we’re advancing machine learning, leveraging blockchains, and harnessing FinTech. Working in Barclays technology, you’ll reimagine possibilities: learning and innovating to solve the challenges ahead, delivering for millions of customers. We are shaping the future of financial technology. Why not join us and make it happen here? Join us as a "Senior Data Operations Analyst" at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as experience with SQL and Unix, as well as job-specific skillsets. To be successful as a "Data Operations Analyst", you should have experience with: Developing and managing your campaigns Proactively monitor and track the outcome of scheduled processes daily (Monday – Friday 8am – 4pm) with issues expected to be raised within an hour of detection and on same day. Operate the scheduler change process, including tracking new requests, confirming all governance steps have been performed, and then deploying changes into the scheduler in a controlled way. In the event of process failures being detected, promptly communicate this to stakeholders, then perform any agreed action to remediate this issue. Continuously maintain documentation for processes that support the scheduler, for instance the program and specification documentation. Where required of our area, coordinate the capture of information needed to provide a collective response to impact assessment requests from infrastructure teams. In the event of issues being caused by infrastructure, lead the raising of incidents to platform support teams, and regularly communicate progress and outcomes to stakeholders. Perform all steps as set out in role process documentation for scheduler management. Stakeholder Management Main stakeholders are the Customer Targeting team within Customer Communication Delivery, with the expectation that you support the team through accurately and promptly dealing with scheduled process queries and issues. Other stakeholders are the multiple support teams we rely upon for the platforms and tools that the team use to execute customer communications. You’ll need to contact them whenever their support is needed with an issue. On occasion you may need to communicate with processes owners in Barclays UK . Decision-making and Problem Solving If a problem is found with a scheduled process then evaluation of the issue and root cause identification should be performed quickly before escalating to the process owner or Team Lead(s), ideally with a recommendation of how to resolve the issue. It’s important that this evaluation considers a range of possible causes and considers whether multiple issues in a short time could be linked to a common root cause. Person Specification Excellent attention to detail. Well organised and diligent when updating documentation. Strong written and verbal communication skills with the ability to communicate technical information in a clear and appropriate way to colleagues who may not have the same understanding, as well as share relevant information or updates with the team. Ability to problem solve and work under pressure Able to build effective and respectful working relationships with colleagues and other teams across geographies and as part of virtual teams. Speaks up to ensure that team processes and controls are followed. Basic/ Essential Qualifications: Strong planning, organisational, and stakeholder management skills Good analytical and problem solving skills. High attention to detail and quality of work. Knowledge and practical experience with SQL syntax and logic Desirable skillsets/ good to have: Practical experience with working with schedulers, such as Unix CRON or Tivoli’s Dynamic Workload Console (TWS) Practical experience with Teradata or Hadoop databases, ideally in a commercial environment. Practical experience with SAS or R programming languages, ideally in a commercial environment. Microsoft Excel to an advanced level. This role will be based out of Chennai. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. (Opens in new tab or window) (Opens in new tab or window) (Opens in new tab or window) Reasonable adjustment Our purpose Equal opportunities Right to work statement Who succeeds in Tech at Barclays? For a career with us, you need to be prepared to take big steps forward, curious to face the challenges ahead, and driven to focus on the outcomes. We need people with the Barclays mindset to make it happen here. What you'll get in return Competitive holiday allowance Life assurance Private medical care Pension contribution Our technology Supporting our 48 million customers and clients worldwide takes a lot of forward thinking. It means harnessing technology to support the economy. It means making a difference to people’s lives. And it requires the maintenance and development of a global, technological infrastructure. At Barclays, technology helps us keep transactions moving, manages data, and protects our customers. Join a world where your work creates unique moments of impact. Make it happen here. This is Barclays Chennai Barclays Chennai is one of our key strategic locations. It’s home to over 5,000 talented and passionate Barclays colleagues, across Finance, HR, operational and technology functions ensuring the bank’s technology and infrastructure runs smoothly. A workplace of the future Your wellbeing Your commute More than just a workplace Working flexibly We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports your personal needs, alongside the professional needs of our business. If you'd like to explore flexible working arrangements, please discuss this with the hiring manager. Your request will be reviewed in-line with the requirements of the role/business needs of the team. Hybrid working We have a structured approach to hybrid working, where colleagues work at an onsite location on fixed, ‘anchor’, days, as set by the business area. Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business. Barclays is built on an international scale. Our geographic reach, our wide variety of functions, businesses, roles and locations reflect the rich diversity of our worldwide customer base. All of which means we offer incredible variety, depth and breadth of experience. And the chance to learn from a globally diverse mix of colleagues, including some of the very best minds in banking, finance, technology and business. Throughout, we’ll encourage you to embrace mobility, exploring every part of our operations as you build your career.

Description At Amazon, we strive to be Earth's most customer-centric company, where customers can find and discover anything they want to buy online. Our mission in International Seller Services (ISS) is to provide technology solutions for improving the seller and customer experience, drive seller compliance, maximize seller success, and improve internal workforce productivity. Team's main focus is to build products that are scalable across different regions of the world, while working in partnership with ISS regional stakeholders and multiple partner teams across Amazon. As a Data Scientist, you will be responsible for modeling complex problems, discovering insights, and building risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency. As a Data Scientist, you will leverage your expertise in Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLM) to develop innovative solutions for Amazon's ISS team. You'll be responsible for modeling complex problems, building innovative algorithms, and discovering actionable insights through statistical models and visualization techniques to enhance operational efficiency in the e-commerce space. The role combines usage of latest AI technology with practical business applications, requiring someone passionate about transforming the way we interact with technology while delivering measurable impact through advanced analytics and machine learning solutions. You will need to collaborate effectively with business and product leaders within ISS and cross-functional teams to build scalable solutions against high organizational standards. The candidate should be able to apply a breadth of tools, data sources, and Data Science techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner. The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Responsibilities: - Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon’s platform and transactions Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams Develop efficient data querying infrastructure for both offline and online use cases Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use. Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations Basic Qualifications 2+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Preferred Qualifications Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A2943984 Show more Show less

About At Deloitte, we do not offer you just a job, but a career in the highly sought-after risk management field. We are business leaders in the risk market and work with a vision to make the world more prosperous, trustworthy, and safe. Our clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success – and to the strength of the economy and public security. By joining us, you will get to work with diverse teams of professionals who design, manage, and implement risk-centric solutions across a variety of domains. In the process, you will gain exposure to the challenges related to risk management faced in today’s world by organizations across a range of industry sectors and become subject matter experts in those areas. Our Risk and Financial Advisory services professionals help organizations effectively navigate business risks and opportunities – from strategic, reputation, and financial risks to operational, cyber, and regulatory risks – to gain competitive advantage. We apply our The Team Within R&LS, Deloitte Model Risk Management (MRM) is one of the services we offer to our clients where we help them manage their risks around model usage. The team is comprised of professionals with diverse backgrounds, including Masters in Statistics, Mathematics, Physics, Finance, Financial Engineering and PhDs in various quantitative fields, etc. Our team is focused on qualitative assessment and quantitative modeling in the areas of Market Risk, Credit Risk, Operational Risk, Liquidity Risk, Fraud Risk as per regulatory guidelines like CCAR/Stress Testing, BASEL II.5 / III in US and CRD IV/CRR in EMEA regulations. The team also does valuation of complex financial products such as derivatives and structured products. Our value proposition includes industry, financial accounting and business process knowledge, proven methodologies that include risk and control concepts, deep expertise in advanced quantitative, data extraction, data mining and analytical skills. Work you’ll do The key job responsibilities will be to: Develop and maintain Financial Crime models, including AML Feeder models, Sanction Screening models through statistical analysis, and generate the necessary documentation Solve data analytical problems in risk management, identify new business insights and opportunities from data, and enhance risk management tools. Apply conceptual and quantitative depth in modeling methodologies and concepts for risk models for banks as required by regulatory guidance. Apply strong analytical and computer skills including experience with statistical and quantitative analysis technical tools such as: SAS, Python, R, SQL. Explain difficult statistical modeling concepts to diverse, non-quantitative client contacts and to experts at various clients. Required skills Familiarity with mathematics or statistical concepts like regression, classification, time series, hypothesis testing, distribution analysis, ATL/BTL testing, performance monitoring etc. Familiarity with prevalent AI/ML techniques including ANNs, Decision Trees and Ensemble techniques like XGBoost Familiarity with vendor-based transaction monitoring and sanction screening models. Experience in Anti-Financial Crime use cases involving Event Processor Next Generation, Quantifind and Customer Risk Assessment Experience in Financial Crime Case Generation Analytics Strong programming skills in R, Python, SAS, SQL etc. Proficient in deploying datasets for production environments and data calibration Experience in executive and technical report writing Understanding of AML and sanction screening regulatory environment Strong organizational and time management skills, with the ability to manage multiple priorities Ability to analyze complex issues and develop effective solutions Flexible to work on extended shifts overlapping with US/UK counterparts. Additional Skills Requirement for Experienced Professionals (7+ years) Able to distribute and track work assignments, set goals/objectives and assess resource performance and administration of local team resources Technical skill set in advanced analytics Ability to coach and mentor junior team members Experience in stakeholder management, interacting with internal and external model reviewers, effective cross-team collaboration across different geographies and delivery partners. Preferred skills Strong data science foundation Experience working with a Bank / Consultative environment Qualification Bachelor’s/Master’s/PhD degree How you’ll grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments— to help accelerate their careers along the way. No two people learn in the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. Deloitte is committed to achieving diversity within its workforce, and encourages all qualified applicants to apply, irrespective of gender, age, sexual orientation, disability, culture, religious and ethnic background. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with Deloitte’s clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Recruiting tips Finding the right job and preparing for the recruitment process can be tricky. Check out tips from our Deloitte recruiting professionals to set yourself up for success. Check out recruiting tips from Deloitte recruiters. Benefits We believe that to be an undisputed leader in professional services, we should equip you with the resources that can make a positive impact on your well-being journey. Our vision is to create a leadership culture focused on the development and well-being of our people. Here are some of our benefits and programs to support you and your family’s well-being needs. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Our people and culture Our people and our culture make Deloitte a place where leaders thrive. Get an inside look at the rich diversity of background, education, and experiences of our people. What impact will you make? Check out our professionals’ career journeys and be inspired by their stories. Professional development You want to make an impact. And we want you to make it. We can help you do that by providing you the culture, training, resources, and opportunities to help you grow and succeed as a professional. Learn more about our commitment to developing our people. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 303602

About us: Analytics & Information Management AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world. Remediation & Remuneration COE Remediation team is responsible for cross functional coordination of customer facing remediation efforts. Provide oversight, prioritization, and scheduling of remediation activities with remediation partner teams including Technology, FSO, Analytics groups, Shared Services (mail vendor) and Controllers. R&R AIM Team works as the data Analytic partner for the Issue Remediation Business Team. Job responsibilities: R&R team manages the analysis of the customer remediation issues across globe, currently in retail consumer bank. The critical areas are work is divided into: Remediation analysis : Execution of the comprehensive data remediation approach on Customer issues due to gaps observed in policies and governance, Self-identified, or through IA. Impact assessment : Identification of size of the customers and the dollar amount impacted due to these issues. Issue Management & Root cause analysis : Identifying the issues and reasons for the issues by leveraging analytical methods. Audit Support : Tracking implementation plans and providing data evidence, artifacts for audit completion Report Generation : Generate business metrics and actionable business insights using latest reporting tools Expertise Required: Tools and Platforms Proficient in SAS, SQL, RDBMS, Teradata, Unix Proficient in MS Excel, PowerPoint, and VBA Jira, Bitbucket, Sharepoint Tableau, Cognos Exposure to Big data, Python Domain Skills Good understanding of banking domain and consumer products (Retail Banking, Deposit, Loans, Wealth management, Mortgage, Insurance, etc.) (Preferred) Knowledge of Finance Regulations, Understanding on Retail Business/ Banking Domain Analytical & Interpersonal Skills Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Data analysis, Data profiling, Data Management skills MIS reporting and generate actionable Business Insights Should have excellent communication and inter-personal skills Good process management skills Coming up with automated Techniques to reduce redundancy, remove false positives and enhance optimization Identification of control gaps and providing recommendations as per data strategy (Preferred) - Risk & control Metrics & Audit Framework Exposure Other Info: Education Level : Master’s / Advanced Degree in Information Technology/ Computer Applications/ Engineering/ MBA from a premier institute Overall experience of 2-5 years Job Category : Decision Management Schedule : Full-time Shift : Regular Local Working Hours (aligned with NAM working hours) Employee Status : Regular Salary Grade : C09 - Job Family Group: Decision Management - Job Family: Data/Information Management - Time Type: Full time - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

About At Deloitte, we do not offer you just a job, but a career in the highly sought-after risk management field. We are business leaders in the risk market and work with a vision to make the world more prosperous, trustworthy, and safe. Our clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success – and to the strength of the economy and public security. By joining us, you will get to work with diverse teams of professionals who design, manage, and implement risk-centric solutions across a variety of domains. In the process, you will gain exposure to the challenges related to risk management faced in today’s world by organizations across a range of industry sectors and become subject matter experts in those areas. Our Risk and Financial Advisory services professionals help organizations effectively navigate business risks and opportunities – from strategic, reputation, and financial risks to operational, cyber, and regulatory risks – to gain competitive advantage. We apply our The Team Within R&LS, Deloitte Model Risk Management (MRM) is one of the services we offer to our clients where we help them manage their risks around model usage. The team is comprised of professionals with diverse backgrounds, including Masters in Statistics, Mathematics, Physics, Finance, Financial Engineering and PhDs in various quantitative fields, etc. Our team is focused on qualitative assessment and quantitative modeling in the areas of Market Risk, Credit Risk, Operational Risk, Liquidity Risk, Fraud Risk as per regulatory guidelines like CCAR/Stress Testing, BASEL II.5 / III in US and CRD IV/CRR in EMEA regulations. The team also does valuation of complex financial products such as derivatives and structured products. Our value proposition includes industry, financial accounting and business process knowledge, proven methodologies that include risk and control concepts, deep expertise in advanced quantitative, data extraction, data mining and analytical skills. Work you’ll do The key job responsibilities will be to: Develop and maintain Financial Crime models, including AML Feeder models, Sanction Screening models through statistical analysis, and generate the necessary documentation Solve data analytical problems in risk management, identify new business insights and opportunities from data, and enhance risk management tools. Apply conceptual and quantitative depth in modeling methodologies and concepts for risk models for banks as required by regulatory guidance. Apply strong analytical and computer skills including experience with statistical and quantitative analysis technical tools such as: SAS, Python, R, SQL. Explain difficult statistical modeling concepts to diverse, non-quantitative client contacts and to experts at various clients. Required skills Familiarity with mathematics or statistical concepts like regression, classification, time series, hypothesis testing, distribution analysis, ATL/BTL testing, performance monitoring etc. Familiarity with prevalent AI/ML techniques including ANNs, Decision Trees and Ensemble techniques like XGBoost Familiarity with vendor-based transaction monitoring and sanction screening models. Experience in Anti-Financial Crime use cases involving Event Processor Next Generation, Quantifind and Customer Risk Assessment Experience in Financial Crime Case Generation Analytics Strong programming skills in R, Python, SAS, SQL etc. Proficient in deploying datasets for production environments and data calibration Experience in executive and technical report writing Understanding of AML and sanction screening regulatory environment Strong organizational and time management skills, with the ability to manage multiple priorities Ability to analyze complex issues and develop effective solutions Flexible to work on extended shifts overlapping with US/UK counterparts. Preferred skills Strong data science foundation Experience working with a Bank / Consultative environment Qualification Bachelor’s/Master’s/PhD degree How you’ll grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments— to help accelerate their careers along the way. No two people learn in the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. Deloitte is committed to achieving diversity within its workforce, and encourages all qualified applicants to apply, irrespective of gender, age, sexual orientation, disability, culture, religious and ethnic background. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with Deloitte’s clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Recruiting tips Finding the right job and preparing for the recruitment process can be tricky. Check out tips from our Deloitte recruiting professionals to set yourself up for success. Check out recruiting tips from Deloitte recruiters. Benefits We believe that to be an undisputed leader in professional services, we should equip you with the resources that can make a positive impact on your well-being journey. Our vision is to create a leadership culture focused on the development and well-being of our people. Here are some of our benefits and programs to support you and your family’s well-being needs. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Our people and culture Our people and our culture make Deloitte a place where leaders thrive. Get an inside look at the rich diversity of background, education, and experiences of our people. What impact will you make? Check out our professionals’ career journeys and be inspired by their stories. Professional development You want to make an impact. And we want you to make it. We can help you do that by providing you the culture, training, resources, and opportunities to help you grow and succeed as a professional. Learn more about our commitment to developing our people. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 303601

Date live: 05/05/2025 Business Area: Acquisition & Engagement Area of Expertise: Product Development & Management Contract: Permanent Reference Code: JR-0000050519 In a role in Product Development & Management, you'll oversee our entire product lifecycle. Your responsibilities include gathering and prioritising product and customer requirements, defining product vision, and ensuring successful delivery and ongoing performance. See your commute Join us as a Commercial Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You’ll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. Commercial Analyst leverage new and existing data provided by wider areas to help manage performance across Business Banking, and they support Optimisation Managers who partner with colleagues across the business to drive data-led performance culture and identify optimisation opportunities to move the business forward (e.g. partnering with Shared Technology colleagues to access new data and build new tools to understand e2e funnel performance). To be a successful Commercial Analyst you should have experience with: Key Skills Required for this role(Basic/ Essential Qualifications) : Good understanding of multiple disciplines relevant to the business (e.g. journeys/processes) Strong experience in data manipulations and business analysis Experienced in mapping out front to back journeys to help identify funnel efficiencies & improvements. Good understanding of applicable regulation and policies Strong written and verbal communication skills Good commercial acumen with analytical mindset and skillset (e.g. SAS, SQL, Excel etc) with experience of leveraging data/analysis to identify problems and support development of innovative solutions to improve business performance. Good communication skills with experience of providing accurate diagnostics and support to more senior colleagues ( to help them negotiate with and influence senior stakeholders (Director/MD level). Some highly valued skills may include: PnL understanding (e.g. pricing, credit, income drivers) / commercial acumen Good communicator with ability to manage stakeholders Self-starter with ability to identify and complete diagnostics in undefined and ambiguous territory Good presentation, written and verbal communication skills Ability to run with a diverse workload and balance competing priorities effectively Curious, with good problem solving skills Previous experience and understanding of other areas of Barclays UK preferred. You may be assessed on essential skills relevant to succeed in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. Job location of this role is Noida. Purpose of the role To drive the success of the commercial banking segment through market analysis, product development, sales and relationship management, risk management, and performance. Accountabilities Execution of market research to understand the competitive landscape, identify market trends and opportunities, and develop strategies to capture market share within the commercial banking segment, taking into consideration industry, size, and growth stage. Development of appropriate pricing models for different products and services, ensuring profitability while remaining competitive in the market. Development, implementation and management of innovative financial solutions, services and products aligned to the banks objectives and are tailored to the commercial banking segment, including loan products, cash management solutions, and trade finance services. Identification and forging of strategic partnerships with other financial institutions, technology providers, or industry experts to expand product offerings and reach new client segments. Management of key stakeholder relationships within target companies to understand their needs and recommend appropriate solutions. Development and implementation of sales strategies including the establishment of sales targets, identification of sales channels to reach potential clients and objectives for loan terms to support the negotiation process and development of service agreements. Monitoring of key leading and lagging metrics such as new client acquisition, loan volume, revenue generation, and market share to assess the performance of the commercial banking segment. Funnel and journey optimisation are key to delivery of service and commercial performance. Analyst Expectations To meet the needs of stakeholders/ customers through specialist advice and support Perform prescribed activities in a timely manner and to a high standard which will impact both the role itself and surrounding roles. Likely to have responsibility for specific processes within a team They may lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. They supervise a team, allocate work requirements and coordinate team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they manage own workload, take responsibility for the implementation of systems and processes within own work area and participate on projects broader than direct team. Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams. Check work of colleagues within team to meet internal and stakeholder requirements. Provide specialist advice and support pertaining to own work area. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how all teams in area contribute to the objectives of the broader sub-function, delivering impact on the work of collaborating teams. Continually develop awareness of the underlying principles and concepts on which the work within the area of responsibility is based, building upon administrative / operational expertise. Make judgements based on practise and previous experience. Assess the validity and applicability of previous or similar experiences and evaluate options under circumstances that are not covered by procedures. Communicate sensitive or difficult information to customers in areas related specifically to customer advice or day to day administrative requirements. Build relationships with stakeholders/ customers to identify and address their needs. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. (Opens in new tab or window) (Opens in new tab or window) (Opens in new tab or window) Reasonable adjustment Our purpose Equal opportunities Right to work statement Learn more about Barclays locations Across our campuses, we offer modern workspaces, collaborative areas, and state-of-the-art meeting rooms. Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations. Designed for innovation and comfort, they support a dynamic and productive work environment. Health and wellness A place where you can belong Collaborative Areas More than work Be you. Be valued. Belong. We celebrate the unique perspectives and experiences each individual brings, believing our differences make us stronger and drive success. You can learn more about our commitment to our colleague on our Inclusion and Opportunities page. Learn more Application Process Your application We’ll ask for information about you, your CV and cover letter. 1 Your assessment Covering your behaviours and ability at work. 2 Your interview Exploring your past experiences and skills. 3 Next step We’ll request additional information so that you can complete our screening process 4 Working flexibly We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports your personal needs, alongside the professional needs of our business. If you'd like to explore flexible working arrangements, please discuss this with the hiring manager. Your request will be reviewed in-line with the requirements of the role/business needs of the team. Hybrid working We have a structured approach to hybrid working, where colleagues work at an onsite location on fixed, ‘anchor’, days, as set by the business area. Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business. Barclays is built on an international scale. Our geographic reach, our wide variety of functions, businesses, roles and locations reflect the rich diversity of our worldwide customer base. All of which means we offer incredible variety, depth and breadth of experience. And the chance to learn from a globally diverse mix of colleagues, including some of the very best minds in banking, finance, technology and business. Throughout, we’ll encourage you to embrace mobility, exploring every part of our operations as you build your career.

Date live: 05/29/2025 Business Area: In Business BSS Area of Expertise: Banking Operations Contract: Permanent Reference Code: JR-0000054921 Put yourself at the heart of the Barclays. A career in banking operations puts you at the very centre of our business strategy. By putting customers at the heart of everything we do, we’re putting our whole business behind our Customer facing teams. As the face of our brand, especially in an increasingly digital world, you'll play a vital role in our customers' financial lives. Here, your voice is heard, and you’ll have the support and opportunities to thrive. See your commute Join us as a Product Manager at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. Product Manager in the Everyday Money Management team provides opportunity to be part of a fast-paced team with an exciting remit to drive data-led performance culture across Everyday Money Management through supporting tech and controls activities to making recommendations and challenging key decisions across Controls & tech activities. You may be assessed on the key critical skills relevant for success in role, such as experience with programming, SQL, and coding, as well as experience handling large amounts of data and excellent presentation skills, as well as job-specific skillsets. To be successful as a Product Manager, you should have experience with: Complete live proving independently and to the required standard in line with risk requirements. Develop and execute scripts to validate strategy changes. Analyze results and provide detailed reports on findings. Collaborate with cross-functional teams to ensure accurate implementation of policy changes. Maintain and update documentation related to processes and procedures. Implement and monitor controls to ensure compliance. Present findings and recommendations to stakeholders in a clear and concise manner. Basic/ Essential Qualifications for this role: Bachelor’s degree in computer science, Information Technology, or a related field. Proficiency in programming languages such as Python, SAS. Experience in coding and software development. Other desirable skillsets: Strong knowledge of SQL and database management. Prior experience in testing, live proving in financial services. Ability to handle and analyze large datasets. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based out of our Noida office. Purpose of the role To provide resolutions for customer queries/issues and personalise each interaction through the use of multiple communication channels. Accountabilities Collaboration across multiple digital channels to personalise each interaction with a customer. Enhancing the bank's digital capabilities when current technology is identified as not yet ready to support. Provision of exceptional customer service to clients by responding to inquiries, resolving issues and handling client requests efficiently. Support the collaboration of internal stakeholders including sales, operational, and risk management teams to meet client needs and expectations, so that transactions are executed accurately and on time. Support teams within the business operations function as needed, including risk management, compliance and collections. Comply with all regulatory requirements and internal policies related to customer care. To provide resolutions for customer queries/issues and personalise each interaction through the use of multiple communication channels. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. (Opens in new tab or window) (Opens in new tab or window) (Opens in new tab or window) Reasonable adjustment Our purpose Equal opportunities Right to work statement Learn more about Barclays locations Across our campuses, we offer modern workspaces, collaborative areas, and state-of-the-art meeting rooms. Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations. Designed for innovation and comfort, they support a dynamic and productive work environment. Health and wellness A place where you can belong Collaborative Areas More than work Be you. Be valued. Belong. We celebrate the unique perspectives and experiences each individual brings, believing our differences make us stronger and drive success. You can learn more about our commitment to our colleague on our Inclusion and Opportunities page. Learn more Application Process Your application We’ll ask for information about you, your CV and cover letter. 1 Your assessment Covering your behaviours and ability at work. 2 Your interview Exploring your past experiences and skills. 3 Next step We’ll request additional information so that you can complete our screening process 4 Working flexibly We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports your personal needs, alongside the professional needs of our business. If you'd like to explore flexible working arrangements, please discuss this with the hiring manager. Your request will be reviewed in-line with the requirements of the role/business needs of the team. Hybrid working We have a structured approach to hybrid working, where colleagues work at an onsite location on fixed, ‘anchor’, days, as set by the business area. Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business. Barclays is built on an international scale. Our geographic reach, our wide variety of functions, businesses, roles and locations reflect the rich diversity of our worldwide customer base. All of which means we offer incredible variety, depth and breadth of experience. And the chance to learn from a globally diverse mix of colleagues, including some of the very best minds in banking, finance, technology and business. Throughout, we’ll encourage you to embrace mobility, exploring every part of our operations as you build your career.

Date live: 05/30/2025 Business Area: See job description Area of Expertise: Data & Analytics Contract: Permanent Reference Code: JR-0000036439 A career in Data & Analytics at Barclays is a hub for top talent, from beginners to experts, fostering innovation and excellence. You'll drive business strategy, leverage data potential, and enhance the experience of millions of customers in today’s data-driven world. See your commute Join us as a "Senior Analyst Collection recovery Analysis" at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. This role has responsibility to manage, track, and optimize collections and recoveries strategy for the first line across US Consumer Bank. You may be assessed on the key critical skills relevant for success in role, such as experience with finance service industry , SAS , Python, Data Extraction, as well as job-specific skillsets. To be successful as a "Senior Analyst Collection recovery Analysis", you should have experience with: Key Specific Accountabilities : Help to manage and monitor credit strategies related to customers in collections Develop strong understanding of risk-related data in terms of infrastructure and user platforms. Develop robust MI for collections/operations across product for customer profile as well as performance Identify opportunities to optimize current credit and operational strategy across products. Incorporate bureau and other external data to further enhance the credit strategy. Help to contribute to recommendations for management direction and business initiatives to address risk-related opportunities within the US Consumer Bank portfolio, including Cards, Loans, and Deposits Stakeholder Managements and Leadership: Develop, manage and maintain effective working relationships with people at all levels across BCUS, Operations, and CRO Coordinate with senior leaders across BCUS to ensure full understanding and exposure to the key risks and trends involved in the risk profile and performance of the US business This role requires a good deal of interaction with peers, managers, and senior leaders across the organization Decision making and problem solving: Candidate will drive work and decisions relating to portfolio-level analytics and credit strategy development that will govern the overall management of customer collections for the US Cards and Loans portfolios, therefore the candidate must be comfortable communicating and collaborating with multiple stakeholders across the organization. They will be required to coordinate inputs, solves conflicts, and establish agreement within the matrixed organization based on the work completed by their team. Risk and Control Objective Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards. Basic Qualifications/Skills: Bachelor’s Degree or higher 2+ years’ experience in the financial services industry 2+ years’ SAS/ORACLE and/or Python knowledge required 2+ years’ of data extraction/management Preferred Qualifications/Skills: Demonstrated experience with analytical and data driven responsibilities Experience with collections strategy is preferrable Understanding of Barclaycard US structure and products Detail oriented, with the ability to self-manage activities Control focused, understanding the implications of working out of a control framework and the risks that imposes to implementations and BCUS on a larger scale. Ability to multitask and react in a fast-paced organization Strong interpersonal skills Strong analytical, planning, and organizational skills with an ability to manage competing demands Experience in use of risk management tools/systems Purpose of the role To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments. Accountabilities Identification and extraction of relevant data from various internal and external sources. Performing sensitivity analysis and scenario planning. Monitoring and evaluation of the performance of existing models. Development and implementation of data quality control procedures. Building and validation of quantitative models to support decision-making across different business areas. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. (Opens in new tab or window) (Opens in new tab or window) (Opens in new tab or window) Reasonable adjustment Our purpose Equal opportunities Right to work statement Learn more about Barclays locations Across our campuses, we offer modern workspaces, collaborative areas, and state-of-the-art meeting rooms. Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations. Designed for innovation and comfort, they support a dynamic and productive work environment. Health and wellness A place where you can belong Collaborative Areas More than work Be you. Be valued. Belong. We celebrate the unique perspectives and experiences each individual brings, believing our differences make us stronger and drive success. You can learn more about our commitment to our colleague on our Inclusion and Opportunities page. Learn more Application Process Your application We’ll ask for information about you, your CV and cover letter. 1 Your assessment Covering your behaviours and ability at work. 2 Your interview Exploring your past experiences and skills. 3 Next step We’ll request additional information so that you can complete our screening process 4 Working flexibly We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports your personal needs, alongside the professional needs of our business. If you'd like to explore flexible working arrangements, please discuss this with the hiring manager. Your request will be reviewed in-line with the requirements of the role/business needs of the team. Hybrid working We have a structured approach to hybrid working, where colleagues work at an onsite location on fixed, ‘anchor’, days, as set by the business area. Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business. Barclays is built on an international scale. Our geographic reach, our wide variety of functions, businesses, roles and locations reflect the rich diversity of our worldwide customer base. All of which means we offer incredible variety, depth and breadth of experience. And the chance to learn from a globally diverse mix of colleagues, including some of the very best minds in banking, finance, technology and business. Throughout, we’ll encourage you to embrace mobility, exploring every part of our operations as you build your career.

Date live: 05/27/2025 Business Area: Fraud Analytics Strategy Technology Area of Expertise: Data & Analytics Contract: Permanent Reference Code: JR-0000051308 A career in Data & Analytics at Barclays is a hub for top talent, from beginners to experts, fostering innovation and excellence. You'll drive business strategy, leverage data potential, and enhance the experience of millions of customers in today’s data-driven world. See your commute Step into a role of Assistant Manager - Internal Fraud Optimisation, where you’ll take responsibility for client service and operational execution task. You must take responsibility for controlling risk and enhancing controls in connection to your job and areas of responsibility in accordance with rules and regulations. You must follow well defined procedures that may require a range of job routines and make judgement based on practice and previous experience. To thrive in this role, you’ll need some previous experience in: Bachelor’s degree or equivalent in quantitative field of study (master’s candidate is good to have). Candidate possessing data and analytical experience with problem solving skills. Ability to perform and handle multiple workstreams with deadline driven environment. Working knowledge of SAS, SQL, and Microsoft Excel. Relevant industry experience. Effective communication skills – fluent in English written and spoken. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Noida. Purpose of the role To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources. Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification. Execution of data cleansing and transformation tasks to prepare data for analysis. Designing and building data pipelines to automate data movement and processing. Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems. Documentation of data quality findings and recommendations for improvement. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. (Opens in new tab or window) (Opens in new tab or window) (Opens in new tab or window) Reasonable adjustment Our purpose Equal opportunities Right to work statement Learn more about Barclays locations Across our campuses, we offer modern workspaces, collaborative areas, and state-of-the-art meeting rooms. Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations. Designed for innovation and comfort, they support a dynamic and productive work environment. Health and wellness A place where you can belong Collaborative Areas More than work Be you. Be valued. Belong. We celebrate the unique perspectives and experiences each individual brings, believing our differences make us stronger and drive success. You can learn more about our commitment to our colleague on our Inclusion and Opportunities page. Learn more Application Process Your application We’ll ask for information about you, your CV and cover letter. 1 Your assessment Covering your behaviours and ability at work. 2 Your interview Exploring your past experiences and skills. 3 Next step We’ll request additional information so that you can complete our screening process 4 Working flexibly We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports your personal needs, alongside the professional needs of our business. If you'd like to explore flexible working arrangements, please discuss this with the hiring manager. Your request will be reviewed in-line with the requirements of the role/business needs of the team. Hybrid working We have a structured approach to hybrid working, where colleagues work at an onsite location on fixed, ‘anchor’, days, as set by the business area. Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business. Barclays is built on an international scale. Our geographic reach, our wide variety of functions, businesses, roles and locations reflect the rich diversity of our worldwide customer base. All of which means we offer incredible variety, depth and breadth of experience. And the chance to learn from a globally diverse mix of colleagues, including some of the very best minds in banking, finance, technology and business. Throughout, we’ll encourage you to embrace mobility, exploring every part of our operations as you build your career.

Date live: 06/02/2025 Business Area: In Business BSS Area of Expertise: Technology Contract: Permanent Reference Code: JR-0000015016 Be a part of a place where challenges are measured in billions, qubits and nanoseconds. Build your career in an environment where we’re advancing machine learning, leveraging blockchains, and harnessing FinTech. Working in Barclays technology, you’ll reimagine possibilities: learning and innovating to solve the challenges ahead, delivering for millions of customers. We are shaping the future of financial technology. Why not join us and make it happen here? Join us as a "MI Analyst" at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific, and any changes should be reviewed. It is important to ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or employment offer being withdrawn at any time. This role is within an MI and Reporting focused team, which is responsible the delivery of Data and MI demands from across Barclaycard Payments. This role will assist in providing accurate and insightful MI achieved by the mining, manipulation and presentation of data which ultimately drive business decision. Understanding of client/financial/operational data and providing MI and reports to business stakeholders to help drive key business decisions. To be successful as a MI Analyst, you should have experience with An year of experience in querying large data warehouses, with in depth knowledge of SAS, SQL, Python to extract data from a database and perform data analysis. Confirmed analytical and numerical ability with experience in data manipulation and advanced Excel skills. Some other highly valued skills may include Degree level or higher qualification in a mathematical based subject or discipline. Payments, Cards, or related financial services industry experience preferred. Good understanding of financial services business and profitability (P&L) structure. Experience in the development of OBIEE or Business Objects reporting. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills Noida Purpose of the role To support the bank's decision-making processes by providing timely, accurate, and insightful information through designing, developing, and maintaining management reports and dashboards that effectively communicate key performance indicators (KPIs) and trends across various business units. Accountabilities Design and development of comprehensive reports and dashboards using various data visualization tools and techniques. Design, development and implementation of automated report generation processes for improved efficiency and timeliness. Identification and analysis of business requirements to define report content and format. Maintenance and updating of existing reports and dashboards to reflect changing business needs, including co-ordination of reporting template releases and related administrative tasks. Development of robust processes & controls for collating input data & seeking signoffs as required. Engagement with stakeholders as needed to ensure up to date data is incorporated into reporting. Analyst Expectations Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams. Check work of colleagues within team to meet internal and stakeholder requirements. Provide specialist advice and support pertaining to own work area. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how all teams in area contribute to the objectives of the broader sub-function, delivering impact on the work of collaborating teams. Continually develop awareness of the underlying principles and concepts on which the work within the area of responsibility is based, building upon administrative / operational expertise. Make judgements based on practise and previous experience. Assess the validity and applicability of previous or similar experiences and evaluate options under circumstances that are not covered by procedures. Communicate sensitive or difficult information to customers in areas related specifically to customer advice or day to day administrative requirements. Build relationships with stakeholders/ customers to identify and address their needs. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. (Opens in new tab or window) (Opens in new tab or window) (Opens in new tab or window) Reasonable adjustment Our purpose Equal opportunities Right to work statement Who succeeds in Tech at Barclays? For a career with us, you need to be prepared to take big steps forward, curious to face the challenges ahead, and driven to focus on the outcomes. We need people with the Barclays mindset to make it happen here. What you'll get in return Competitive holiday allowance Life assurance Private medical care Pension contribution Our technology Supporting our 48 million customers and clients worldwide takes a lot of forward thinking. It means harnessing technology to support the economy. It means making a difference to people’s lives. And it requires the maintenance and development of a global, technological infrastructure. At Barclays, technology helps us keep transactions moving, manages data, and protects our customers. Join a world where your work creates unique moments of impact. Make it happen here. Learn more about Barclays locations Across our campuses, we offer modern workspaces, collaborative areas, and state-of-the-art meeting rooms. Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations. Designed for innovation and comfort, they support a dynamic and productive work environment. Health and wellness A place where you can belong Collaborative Areas More than work Working flexibly We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports your personal needs, alongside the professional needs of our business. If you'd like to explore flexible working arrangements, please discuss this with the hiring manager. Your request will be reviewed in-line with the requirements of the role/business needs of the team. Hybrid working We have a structured approach to hybrid working, where colleagues work at an onsite location on fixed, ‘anchor’, days, as set by the business area. Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business. Barclays is built on an international scale. Our geographic reach, our wide variety of functions, businesses, roles and locations reflect the rich diversity of our worldwide customer base. All of which means we offer incredible variety, depth and breadth of experience. And the chance to learn from a globally diverse mix of colleagues, including some of the very best minds in banking, finance, technology and business. Throughout, we’ll encourage you to embrace mobility, exploring every part of our operations as you build your career.

Candidate Profile 5+ years of hands on experience on Tableau Desktop 4+ years of Working knowledge of SAS and SQL Must have created complex BI dashboards from scratch Attention to details and multi-tasking Healthcare background is preferred Strong problem solving and analytical skills Strong verbal and written communication skills Self-starter and independent worker Capable of applying judgment to plan and execute your tasks Minimum Bachelor's degree from a recognized university in Computer Science, Engineering or equivalent Roles And Responsibilities Gather requirements and ask right questions essential for smooth progress of project Engage in POCs, demos and interaction with customers and other technical teams Scope and deliver various BI Dashboard and reporting solutions Create dashboard wireframes in consultation with client Create efficient SAS codes for data manipulation Develop the BI dashboard on Tableau Desktop Manage the client stakeholders with minimal supervision Proactive in raising issues and red flags for timely resolution Show more Show less

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Consultant , AI ML Lead! In this role, we are looking for candidates who have relevant years of experience in Text Mining. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities Develop transformative AI/ML solutions to address our clients' business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Qualifications we seek in you! Minimum Qualifications / Skills MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework Technology Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais , StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS Exposure to Statistical Toolkits such as R, Weka, S -Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python/R programming skills. Java programming skills a plus Methodology Relevant years of experience in Solutioning & Consulting experience in verticals such as BFSI, CPG, with hands on delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques Preferred Qualifications/ Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP , OpenCalais, StanfordNLP , GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras , Torch, Theano Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Consultant Primary Location India-Kolkata Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 4, 2025, 6:34:09 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

About this role: Wells Fargo is seeking a Quantitative Model Solutions Manager. In this role, you will: Manage and develop individual contributors with a focus on low to moderate complex model operational and optimization processes, controls, assumptions, metric development, reporting, and testing strategies to successfully drive effectiveness Provide expertise regarding low to moderately complex strategies, synchronizing transformational and opportunity needs with pragmatic operational considerations Make decisions and resolve issues regarding low to moderately complex model operations and optimization work to meet business objectives; interpret and develop policies, procedures, and standards Identify and recommend design thinking, methodology, optimization, and processes related to low to moderately complex model operations, balancing modern technology and the regulatory climate Utilize theoretical and mathematics to synthesize then communicate concepts into practical planning related to model maintenance and optimization Collaborate with and consult with peers, colleagues, and multiple level managers Manage allocation of people and financial resources for Quantitative Model Solutions Mentor and guide talent development of direct reports and assist in hiring talent Required Qualifications: 4+ years of quantitative model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2+ years of leadership experience Desired Qualifications: 4+ years of overall experience with 2+ years of leadership experience Bachelors degree from a premier institute or Masters/PhD degree in quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences 4+ years of experience in credit risk analytics or credit risk modeling/monitoring role Advanced programming skills in Python, SAS and SQL Good exposure to business intelligence tools such as Tableau/PowerBI for dashboarding Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment Excellent verbal, written, and interpersonal communication skills Strong ability to develop partnerships and collaborate with other business and functional areas Knowledge and understanding of issues or change management processes Experience in regulatory models for CCAR Stress testing, CECL, IFRS9, RRP, and Basel , Strong understanding of Retail Home Lending and Auto business Comprehensive view of the regulatory requirements Ability to systematically probe, research, identify and analyze business problems using problem solving skills Ability to lead high performing advanced quantitative analytics teams and stakeholder management Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities Understanding of bank regulatory data sets and other industry data sources Flexibility with changing priorities Knowledge of SR 15-18 and SR 11-7 guidelines Job Expectations: Manage a team responsible for Credit Risk model monitoring, implementation and execution for Retail Home Lending and Auto portfolio Manage multiple stakeholders and relationships for different engagements of the team Lead large-scale projects related to implementation, execution and monitoring of CECL, IFRS9, Basel and CCAR stress testing models for Retail Secured portfolios Lead and perform various complex activities related to predictive modeling. Provide analytical support for developing, evaluating, implementing, monitoring and executing credit and PPNR models across retail secured business verticals Lead model production and analytics projects for Retail Secured loss forecasting and PPNR models Guide the team in developing dynamic dashboards; analyze key risk parameters to help understand changes in business and model performance Identify opportunities for strategic and infrastructure projects. Design and deliver process improvements, standardization, rationalization and automations. Enhance and standardize performance analysis, reporting packages and business loss forecast processes Develop frameworks for documentation of development, implementation and monitoring processes across the team with focus on standardization of controls Recommend insights and actions to be considered by management relative to the development of strategy, policies, procedures and organizational controls and with model users, developers, validators and technology. Apply business knowledge and predictive analytics to serve as a subject matter expert, analyst, advisor and consultant to the corporate and/or lines of business (LoB) with respect to model development, model validation, modeling data analytics, model performance analysis and model execution.

Description Of Activities For The Resources Help review policy/acquisition strategy to ensure simplification and optimization of risk adjusted returns Help harvesting and aggregating data to ensure production of key credit metrics for newly defined segments (e.g. Emerging Affluent) Revisit acquisition strategy (where applicable) to ensure customer limits remain competitive in the market while credit performance remains within appetite Further enhance portfolio exposure programs to ensure increased return on capital while focusing on auth rate optimization and right sizing of the limits Qualifications Prior experience in managing risk activities in retail lending. 6-7 years exp experience in analytics specifically in the fields like Credit Risk Model Development, Strategy Development, Vintage profitability modeling, Portfolio Insights. Prior hands-on experience with development of acquisition risk strategy (Approve/Decline), account management strategy, strategy analysis, portfolio management & financial modelling would be mandatory. Technical expertise on SAS, Excel, Python etc. The incumbent would be expected to effectively explain the trends, adding meaningful insights on the back of relevant business knowledge. This role requires the incumbent to plan and execute the assigned projects/ analysis as per the agreed timelines and with accuracy and quality Demonstrate strong product / business knowledge and leverage the same to enhance quality of output by tying analysis back to business trends. Use the same to drive business benefits Support development and deployment of key analytical frameworks/strategies in line with business priorities. Provide actionable solutions for business problems including unstructured problems and ad-hoc queries with quick turnaround time Show more Show less

Manager- Fraud Operations - Fraud Mitigation/Fraud Operations/Dispute Management Requirement: Industry Experience : Banking Industry - Fraud Mitigation, Fraud Operations, Dispute management Experience : Looking for individuals with experience of 8-13 years in Fraud Ops management / Fraud Mitigation/Dispute management. Manage Retail Clients Fraud Risk activities and processes for Investigations effectively and efficiently aligned to business strategy. Work with other units of Fraud Risk Management and stakeholders for smooth functioning of Fraud risk management processes and activities. Manage fraud risk, assisting businesses with implementing the ‘best in class’ tools and processes to minimize fraud losses while maintaining and adhering to customer charter goals and objectives. Must have skills : Extensive knowledge in Fraud Mitigation, Fraud Operations, Dispute management , Analytical skills and basic knowledge of SAS/SQL Role and Responsibilities: - Serves as a Team Manager for Banking clients. Lead and manage a team of 15-20 Fraud Analysts involved with monitoring both near Real Time and T-1 dashboards. Analyzing team performance, manage all administrative task and provide coaching and feedback to team to deliver strong results Ensure optimal scheduling that provides uninterrupted 24/7 coverage to monitor fraud dashboards. Create monthly schedules including backup plans in case of planned/unplanned leaves within the team Ensure trainings across all team members wrt any new or enhanced monitoring item. Conduct periodic re-training sessions within the team to ensure all analysts stay up to date with latest fraud monitoring & deep dive procedures. Identify gaps and inefficiencies in current workflows and proactively implement improvements to enhance fraud monitoring and response efficiency. Maintain comprehensive documentation, including fraud detection playbooks, standard operating procedures and monitoring trackers. Guide development team with respect to their daily projects (Technical skills required SQL, Excel) and stay-up-to-date with new monitoring items or enhancement to existing monitoring items. Cover Real Time and T-1 Monitoring & Deep Dive as per need basis Develop Power Automate (UI Based, no coding needed) Workflows to support ongoing automation initiatives. Partner with various Product Leads to ensure alignment on various Monitoring Items May Interact with other Risk teams on developing fraud prevention strategy and process Preparing weekly/monthly dashboard and reporting for Senior Leadership Team. Show more Show less

Description Of Activities For The Resources Help review policy/acquisition strategy to ensure simplification and optimization of risk adjusted returns Help harvesting and aggregating data to ensure production of key credit metrics for newly defined segments (e.g. Emerging Affluent) Revisit acquisition strategy (where applicable) to ensure customer limits remain competitive in the market while credit performance remains within appetite Further enhance portfolio exposure programs to ensure increased return on capital while focusing on auth rate optimization and right sizing of the limits Qualifications Prior experience in managing risk activities in retail lending. 6-7 years exp experience in analytics specifically in the fields like Credit Risk Model Development, Strategy Development, Vintage profitability modeling, Portfolio Insights. Prior hands-on experience with development of acquisition risk strategy (Approve/Decline), account management strategy, strategy analysis, portfolio management & financial modelling would be mandatory. Technical expertise on SAS, Excel, Python etc. The incumbent would be expected to effectively explain the trends, adding meaningful insights on the back of relevant business knowledge. This role requires the incumbent to plan and execute the assigned projects/ analysis as per the agreed timelines and with accuracy and quality Demonstrate strong product / business knowledge and leverage the same to enhance quality of output by tying analysis back to business trends. Use the same to drive business benefits Support development and deployment of key analytical frameworks/strategies in line with business priorities. Provide actionable solutions for business problems including unstructured problems and ad-hoc queries with quick turnaround time Show more Show less

Manager- Fraud Operations - Fraud Mitigation/Fraud Operations/Dispute Management Requirement: Industry Experience : Banking Industry - Fraud Mitigation, Fraud Operations, Dispute management Experience : Looking for individuals with experience of 7-13 years in Fraud Ops management / Fraud Mitigation/Dispute management. Manage Retail Clients Fraud Risk activities and processes for Investigations effectively and efficiently aligned to business strategy. Work with other units of Fraud Risk Management and stakeholders for smooth functioning of Fraud risk management processes and activities. Manage fraud risk, assisting businesses with implementing the ‘best in class’ tools and processes to minimize fraud losses while maintaining and adhering to customer charter goals and objectives. Must have skills : Extensive knowledge in Fraud Mitigation, Fraud Operations, Dispute management, basic Knowledge of SAS/SQL and analytical skills Role and Responsibilities: - Serves as a Team Manager for Banking clients. Assist in formulating policies, processes, agency recruitment, and initiation of awareness campaigns. Conduct thorough verifications of Income, Banking, KYC, and CPV reports to ensure accuracy. Take charge of document verification (both online and offline), random asset audits, agency evaluations, and customer background checks. Oversee comprehensive investigations of fraud complaints, coordinating closely with the field team for necessary follow-up actions. Aid the field team in lodging police complaints/FIRs against fraud perpetrators. Ensure swift and effective actions are taken to investigate all instances of fraud, establishing a strong deterrent presence in the market. Monitor and manage fraud-related processes to ensure efficiency and optimal management. Enhance preventive measures to minimize instances of reputation-damaging fraud complaints. Generate accurate and timely fraud reports, both internally and externally (such as FMR). Skillfully onboard vendors and evaluate their performance over time. Oversee regulatory reporting and manage secured product fraud-related activities nationwide. Show more Show less

Job title : Data Validation Team Member Hiring Manager: Project Lead-ESR & Grants Location: Hyderabad % of travel expected: Travel required as per business need Job type: Permanent and Full time About The Job Our Team: Sanofi Business Operations (SBO) is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions . Sanofi Business Operations strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, globally. The Sanofi Business Operations is built to reduce reliance on external service providers and facilitate the development of internal expertise. The Sanofi Business Operations will leverage an untapped combination of talent pool. Main Responsibilities Sanofi is seeking a dedicated and detail-oriented Data Validation Team Member to join our team. The successful candidate will be responsible for ensuring the accuracy and quality of clinical data through comprehensive validation and quality control processes. Key Responsibilities System and Data Collection: Understand system and data collection processes, including electronic Case Report Forms (eCRFs) in the Medidata RAVE (EDC) application. Data Verification: Verify data for consistency and identify discrepancies. Query Management: Raise and manage queries to resolve data issues. User Acceptance Testing (UAT): Perform UAT for CRF changes and system updates, document findings, and assist with other tasks as needed. Issue Log Management: Update issue logs with data issues and resolutions. Metrics Creation: Create form entry and query metrics. Metrics Tracking: Track eCRF review and backlog metrics. Data Review: Review data listings produced in SAS, ad-hoc reporting, and scanned reports for accuracy. Quality Control: Ensure quality control of all activities in-scope, as discussed and required by Sanofi. Reconciliation: Perform data reconciliation to ensure data integrity. Guideline Input: Provide input to Data Review Guidelines (DRG) and Quality Management & Control Plan. Documentation: Draft project documents on an ad-hoc basis. Training Facilitation: Facilitate training for new team members and create test cases. People: (1) Seek alignment with internal stakeholders, and appropriate prioritization of Registry study data management activities, and compliance with approved processes; (2) Support team initiatives and objectives, identify and recommend process improvements and initiatives, and participate in company initiatives with the primary objective of adding value to the business Performance: (1) Ensure that the data validation methods produce accurate and reliable results (2) Identify sources of data validity problems and implementing data-driven quality improvement processes; (3) Ensure operational excellence and compliance readiness. Process:(1) Understand system and data collection processes, including electronic Case Report Forms (eCRFs) in the Medidata RAVE (EDC) application. (2) Verify data for consistency and identify discrepancies. (3) Raise and manage queries to resolve data issues. (4) Perform UAT for CRF changes and system updates, document findings, and assist with other tasks as needed. (5) Update issue logs with data issues and resolutions. (6) Create form entry and query metrics. (7) Track eCRF review and backlog metrics. (8) Review data listings produced in SAS, ad-hoc reporting, and scanned reports for accuracy. (9) Ensure quality control of all activities in-scope, as discussed, and required by Sanofi. (10) Perform data reconciliation to ensure data integrity. (11) Provide input to Data Review Guidelines (DRG) and Quality Management & Control Plan. (12) Draft project documents on an ad-hoc basis. (13) Facilitate training for new team members and create test cases. Stakeholder: (1) Commit to Customers – Understand, meet, and excel internal and external customer expectations to create positive impact through the evolution of the Registry Data management function. (2) Cooperate Transversally – Collaborate effectively with peers, stakeholders, and partners across the organization to positively impact Registry study data management efficiency and execution. About You Experience: 3+ years of Experience with Medidata RAVE (EDC) application and SAS. Strong attention to detail and analytical skills. Excellent communication and documentation skills. Ability to work independently and as part of a team. Previous experience in a similar role within the pharmaceutical or clinical research industry. Familiarity with regulatory requirements and guidelines for clinical data management. Soft skills: Excellent written and oral communication skills. Excellent organizational and project management skills, and ability to meet deadlines and stakeholder management. Ability to maintain confidentiality of data and information during interactions with staff at all levels and across studies and sponsors. Previous experience in a similar role within the pharmaceutical or clinical research industry. Familiarity with regulatory requirements and guidelines for clinical data management. Technical skills: Proficiency in data management tools and software (e.g., SQL, SAS, R, Python) Understanding of data cleaning, transformation, and validation techniques. Familiarity with clinical data standards such as CDISC (Clinical Data Interchange Standards Consortium) and HL7 (Health Level Seven International). Knowledge of regulatory requirements and guidelines from bodies like the FDA and EMA. Education: Degree in a scientific discipline or a related Life science degree with substantial experiences with data management of clinical trials. Efficiently managing multiple tasks and deadlines. Meticulous in reviewing data to ensure accuracy and completeness. Languages: High Proficiency in written and spoken English. Pursue progress, discover extraordinary. Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Show more Show less