Position Overview Job Title: Test Analyst Corporate Title: AVP Location: Pune, India Role Description Engineer: Technical specialist What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Liaising with technical architects to develop strong understanding of the architecture and technology stack. Developing test plans and potentially even detailed test scenarios and test cases; ensuring maximum test coverage. Ensuring that testing standards, process, procedure, and methodology are adhered to. Planning and execution of test cycles in an efficient and organized way. Thoroughly review and document quality before handover to SIT/UAT. Test Execution according to plan and thorough analysis of potential defects to help with triaging. Accurately reporting test preparation and execution progress identifying and escalating risks to delivery. Promoting the principles and ideals of automation testing and transferring skills to other QA staff as appropriate. Maintain a current working knowledge of the key business systems and future developments. Work with Test Managers, change team to identify the quality implications of known bugs and the impact of proposed changes to product definition on the testing process. Review requirements, specifications, user documentation, help files, and other project documentation to assure quality of the products and tests to be developed. Ensure proper version control and configuration management of all test objects developed and test environments used. Apply risk-based techniques to develop, maintain, and execute test suites. Work with the Development team/Automation Team to capture and reuse automated Unit Test Cases, Test Stubs and Drivers, and other Development test objects. Supporting the build master implement/improve build test processes, environments, and scripts. Experience and working knowledge of tools such as ALM, creating test plans and test cases. Tools Knowledge such as :- SAS on Mainframe , Bit Bukcet, Jira, Servcie Now etc. Your Skills And Experience Bachelor's degree in B.Tech/B.A ,Computer Science, Information Systems, Statistics, or related field. Proven experience as a SAS Business Analyst or similar role, with a minimum of 7 years of experience in data analysis and SAS programming.. Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders. Ability to work independently and collaboratively in a fast-paced environment with multiple stakeholders and competing priorities. Certification in SAS programming or SAS analytics (e.g., SAS Certified Base Programmer, SAS Certified Predictive Modeler) is a plus. Should have 9-11 years total test experience with 5-7 years of relevant SAS/Mainframe. Experience in leading environments set-up / preparation for Integration/Acceptance testing. Technical skill required:- SAS/Mainframe ( Mandatory) Liaising with business analyst to develop strong understanding of the business process and system requirements. How We’ll Support You Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

Nice to meet you! We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. We’re also a debt-free multi-billion-dollar organization on our path to IPO-readiness. If you're looking for a dynamic, fulfilling career coupled with flexibility and world-class employee experience, you'll find it here. SAS is a global leader in business analytics, offering hundreds of products built on a unified platform. The Platform Services division plays a key role in the development of this foundational technology. If you're seeking a rewarding career and the chance to lead a team within this pivotal division, this is the opportunity for you. About The Role This position is based at the SAS R&D Center in Pune. We are seeking a Manager to lead a newly formed development team within the Platform Services division. In this role, you will oversee the management and prioritization of software development projects, coordinate related testing activities, and allocate resources to meet departmental, divisional, and corporate goals. You will play a key role in developing, promoting, and implementing innovative solutions and industry best practices to support software quality initiatives and drive company success. The role also involves strategic planning, staffing, team leadership, motivation, and stakeholder engagement. Requirements Should have at least 12 years of relevant experience in software development projects along with at least 2 years of experience in people management or leading the team. Need to have excellent written and verbal communication skills to collaborate effectively with all the other teams in other divisions like tech support teams. Strong software design, and development skills with ability to mentor team members. Experience with Go-lang, Java, RESTful web services, Postgres, CI/CD Tools Experience in cloud development using Docker, Kubernetes on with cloud providers like Azure, AWS, GCP Good experience of converting Product Management requirements to technical requirements, and evaluating alternate approaches for feasibility, advising the stakeholders of comparative pros-cons. Need to be energetic, enthusiastic and should be able to manage the changing priorities on an ongoing basis. Need to multitask effectively across new feature development and maintenance projects. Ability to assess the risks with respect to delivery pipeline/milestones and raise these immediately through appropriate channels to the higher management. Should be able to deal with moving targets, changing priorities, and uncertainties and be able to define clear and specific objectives for the team to achieve divisional goals. Good knowledge of AGILE methodology to help the team in performing Agile ceremonies. Primary Responsibilities Organizes, develops, prioritizes, and assigns resources to deliver high quality, testable and scalable software solutions within established timelines, while adhering to R&D best practices and processes. Defines objectives and responsibilities consistent with department, division, and corporate goals. Leads development project designs and enforces technical standards to ensure software product works correctly across various cloud providers and configurations. Proactively leads and solicits the involvement of other project stakeholders (e.g. managers, developers, user interface and visual designers, product managers) to ensure implementation satisfies functional requirements and is consistent with established R&D standards. Manages and leads project scoping and scheduling; tracks progress of individual tasks and alerts executive management and stakeholders of concerns meeting schedules, while following established R&D standards. Manages product quality standards by ensuring functional, unit and performance testing is comprehensive and thorough; works closely with development and testing teams to verify test plans. Maintains accountability for the entire life cycle of the code including support for both internal and external consumers. Ensures the veracity of design and technical documentation to satisfy both internal and external consumers. Contributes to product or project direction through collaboration with Product Management and feedback from tech support. Provides technical leadership as appropriate for projects and to the team through mentoring, training and managing the activities of the team. Manages all aspects of the department including teamwork, performance management, providing feedback, and staff professional growth through collaboration with SAS Human Resources, SAS Education and Executive Leadership. Communicates and represents departmental interests to staff, other departments, divisions, and various management levels as necessary. Maintains an awareness of and researches new technologies, trends, architectures, and implementation techniques in support of efficient and effective testing related activities. Regularly communicates development and testing status, project risks, resource requirements and allocation, and other relevant knowledge with upper management. Coordinates and prioritizes testing of new software under development and of production software in the field. Coordinates the creation and implementation of quality standards and testing processes for products through the development of test plans, test harnesses, reference documents, and other instruments. Analyzes test results and testing tasks in accordance with test plans. Advocates for the adoption of best practices and continuous improvement throughout the software lifecycle. Becomes actively involved in daily operations and duties as needed to meet schedules or to resolve complex problems or issues. Additional Responsibilities Responsible for tactical management of a functional area, feature, product, or multiple products or solutions. May collaborate with product marketing, management, and others to refine product/project direction. Involves senior management as required in major decisions. Administers and executes policies and procedures that typically affect individual employees or a team. Functions as an advisor to employees regarding daily tasks, projects, and immediate operations. Diverse and Inclusive At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here. Additional Information Please insert appropriate compliance verbiage for your country. SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com. #SAS Show more Show less

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. How will you make an impact in this role? The position is in Global Contact and Capacity Management (GCCM). GCCM is responsible for all call volume forecasting, capacity/staff planning, operational expense management, configuration, and real time performance management & monitoring for GSG 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 in GCCM 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 Qualification: Bachelor’s degree or equivalent Strong written and verbal communication skills with demonstrated success in creating and conducting presentations to large / senior / ambitious audiences, a plus Strong organizational and project management skills Proven track record to manage multiple priorities effectively with a track record of getting results effectively while meeting deadlines Positive 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 BU and/or the Blue Box 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 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 Eligibility Criteria: Applicant should have a minimum tenure of 12 months as a band 28 in the current role as of the date of application Applicant should not be under Counseling/Review period at the time of application Minimum Combo Performance rating of 5 or lower in the last Annual PMP cycle Preferred Qualification: 1+ years of relevant experience in Workforce Planning/ Operations/MIS analytics would be preferred Proficiency in Workforce Management tools such as Avaya, eWFM, Genesys as well as understanding of call center volume drivers and forecasting/workforce planning processes would be an added advantage Project management skills, knowledge and experience of successfully leading projects, a plus 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. Show more Show less

How will you make an impact in this role? Sales Enablement Organization focuses on accelerating commercial business growth through training, tools and insights to provide a best-in-class customer experience and create a culture of doing it the right way. Sales Ops & Governance Role This position will support the development and implementation of analytical solutions, to provide consultative support to the GCS leadership team. The incumbent will also highlight trends, risks, and opportunities to enhance business decision-making processes, while working very closely with Sales, Marketing, Capabilities, Technology, and Analytics teams to drive growth in the sales organization. Key Responsibilities: Perform in-depth data analysis to deliver strategic priorities focused on the sales enablement roadmap for Small/Medium Business Have outstanding knowledge of Python, SQL, and Hive, encompassing data manipulation and statistical modeling/data-mining techniques Ability to work with huge unstructured data, apply analytical thinking to diagnose business needs and establish analytical hypothesis and solutions Analyze, deep dive, explore to identify data gaps and problem solve them by collaborating across teams. Detailed execution of the development, validation and implementation of automated analytical solutions with minimal to no manual intervention Leverage predictive modeling to identify tactics for channel optimization of existing areas and conceptualize opportunities. Challenge status quo, innovate, and harbor strong curiosity. Proactively identify opportunities to improve processes by evaluating and challenging existing approaches Effectively challenge the conceptual soundness, theory, approach, and usages of predictive models Minimum Qualifications 3+ years of Database Architecture & Administration experience in a professional environment Bachelor s Degree required, preferably in a quantitative field (e.g., Economics, Finance, Accounting, Statistics, Artificial Intelligence, Data Analytics, Engineering) Must Have - High proficiency in Python and SQL, with strong working knowledge of analytical tools (e.g., Hive, PySpark, scikit-learn etc.) Programming: SQL, SAS, Python/R, Unix scripting, Excel/VBA Experience in Big Data environment, inclusive of data mining techniques. Experience applying advanced statistical and/or quantitative techniques to solve business problems Hands-on analytics and machine learning (ML) experience with understanding of data processing and model validation. Ability to address performance issues and to manipulate both structured and unstructured data Advanced knowledge of Microsoft Office Suite (Excel pivot, macros, deck-writing) Ability to cultivate relationships and partner with multiple collaborators, with superb interpersonal and communication skills Ability to deliver results, work independently, and prioritize tasks Self-starter who thrives in an evolving, dynamic environment Preferred Qualifications Proficiency in CRM tools, Salesforce, or statistical software programs Big data platform (Hadoop, SPARK, NoSQL DB, RDBMS) Cloud Products & Services like Google Cloud Visualization: Tableau, Power BI, Power Automate, Splunk Servicing Platforms like Service Now Others: Confluence, Sharepoint or any other workflow and content management tool

Primary Responsibilities Experience in writing complex SQL queries and experience with any data visualization tool is preferable e.g., Tableau, Power BI. Good exposure of Software Testing methodologies, Implementation of Data Lakes, Data warehouse/ETL projects , Big Data projects in On-Premises & Cloud Environments Experienced in SAS applications and Python Programming Ability to write SQL queries to conduct data validations and probe quality issues with data. Experience in Project Delivery Methodologies: SDLC, Iterative, Agile, Scrum, Kanban Experience in ALM Tools like JIRA, TFS (Azure Devops) & Confluence. Knowledge on data quality fundamentals and data governance concepts. Hands-on experience with all levels of testing includes Smoke Testing, Integration Testing, System Testing and Regression Testing. Knowledge of PL-SQL, PySpark & SQL, on framing and tuning the Queries so that it covers all the data scenarios. Accountable for high quality and on time delivery for task assigned. Qualifications: Education: Bachelor s degree required in computer sciences, or equivalent and relevant work experience in a software Testing environment. Experience: Around 3 to 6 years of experience in Software Quality Testing. Prior testing experience with pharmaceutical related software, preferred. In-depth understanding of software quality assurance, preferably in a Clinical Data environment. Ability to write SQL queries to conduct data validations and probe quality issues with data. Experience in Project Delivery Methodologies: SDLC, Iterative, Agile, Scrum, Kanban Knowledge and understanding of the Software Development, Life Cycle (SDLC) testing methodology and document management. Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.) Experience in writing test cases based on product requirements. Experience working closely with development and business teams to communicate problem impacts and to understand business requirements. Shows creativity and initiative to improve product test coverage and effectiveness (preferred)

Primary Responsibilities: Develop and refine study designs to ensure scientific rigor and alignment with research objectives. Analyse data according to study statistical plan tailored to the studys specific needs, ensuring that data collection methods align with intended analysis strategies. Compile comprehensive reports for relevant committees and funding agency, that summarize the study progress, challenges encountered, and future directions. Organize project meetings to manage progress and timelines. Preparing manuscripts for scientific communication. Site monitoring visits and audits: manage the monitoring visits and address any deviations or concerns related to study execution. Execute action points as indicated by the study monitor during the visit and generate closure reports. Data Audits: Perform thorough audits of collected data to verify accuracy, completeness, and adherence to the study design and ethical standards. Team Collaboration: Work closely with a multidisciplinary team, including data managers, statisticians, other researchers, and clinical staff, to ensure that all aspects of the study are Minimum Essential Qualifications: First Class Post Graduate Degree, including the integrated PG degrees, with PhD Second Class Post Graduate Degree, including the integrated PG degrees, with PhD and with For Engineering/IT/CS- First Class Graduate Degree of four years with three years experience Desirable Qualifications/experience: Experience in clinical or health services research, including expertise in study design and research methodology. Experience in conducting/managing operational feasibility studies Minimum 3 years of experience in clinical data analysis, statistical analysis of large datasets, or Experience in statistical methods, exploratory data analysis, multivariate data analysis, linear, logistic, Poission regression with diagnostic checking, survival analysis, and their implementation in R, SAS, Graphpad prism, or other statistical software. Excellent written and oral communication skills, capable of effectively presenting research findings and writing complex reports. Demonstrated ability to lead and manage research projects, including coordination of Knowledge of regulatory standards and ethical guidelines pertinent to clinical research. Strong attention to detail and commitment to accuracy. Good organizational skills and ability to manage multiple tasks.

Job Title: Principal Programmer - Data Science Systems Work Location: Manyata Tech Park, Bangalore, India Work Schedule: Three days on-site, two days remote (3/2) Career Level: E - Individual Contributor position. Introduction to role: Are you ready to make a difference in the world of data science? As a Principal Programmer in Data Science Systems, youll be at the forefront of developing ground breaking applications and methodologies within the Quantitative Sciences organization. Your strong technical, organizational, and project management skills will guide internal and external collaborators in implementing software tools and technologies that redefine clinical study development and execution. Collaborate with leaders in Programming, Biostatistics, Epidemiology, and Medical Writing to identify technology needs and streamline practices. Dive into the world of data science technologies to improve clinical analyses and operations. Accountabilities: Develop, maintain, implement, and manage applications using data science software within the QS organization. Coordinate project direction for internal and external projects in tool development and deployment. Lead life cycles of data science services including versioning, training, and documentation. Review and supervise change requests for data science applications. Find opportunities for new data science technologies to improve QS operations. Research alternative solutions to current problems with recommendations for efficient solutions. Implement standard methodologies in software development to improve quality and efficiency. Develop Standard Operating Procedures for regulatory deliverables using data science technologies. Serve as a liaison with Alexion IT for tool development using data science technologies. Represent QS Statistical Programming in cross-functional projects for innovative solutions. Act as a subject matter authority on data science technologies during audits. Provide training to DOQS and contracted staff for applications developed with data science technologies. Lead department data science environment for clinical study data analysis. Coordinate aspects of applications developed with data science technologies including licenses and user accounts. Serve as a statistical lead programmer contributing to project programming efforts. Develop and validate programming specifications for analysis datasets using Alexion standards. Independently develop programs generating analysis datasets based on specifications. Develop programming specifications for protocol-specific safety and efficacy tables. Independently develop programs generating safety and efficacy tables using Alexion specifications. Represent Alexion at conferences to present data science technology trends. Crucial Skills/Experience: BS/MS/MA in Statistics, Biostatistics, Computer Science, Data Science, Mathematics or related area. Advanced degree or equivalent experience with strong analytical skills is preferred. 6+ years data science or statistical programming experience in the pharmaceutical, biotech or CRO Industry. Some proven experience and solid understanding of data science technologies such as R, Python, C++, C#, Java or AI/machine learning. 2+ years project management experience in the biotech or pharmaceutical industry is required. Work experience and validated skills in the use of R or SAS within a Statistical Programming environment to develop and validate analysis datasets, tables, listings, and figures/graphs is required. Confirmed abilities to lead and handle cross-functional projects from concept to completion. Proficiency in the roles and responsibilities of all related subject areas within the QS department, with a focus on Biostatistics, Clinical Data Management, Epidemiology, and Medical Writing. Strong verbal and written communication skills with ability to clearly and effectively present information. Strong knowledge and understanding of software development with familiarity of a general programming language (i.e. C++, Java, Python, etc.), version control (Git), CI/CD platforms, open-source and private APIs, and various SDE tools. Experience with CDISC SDTM and ADaM models and clinical analysis reporting is preferred. Knowledge of clinical database design specifically electronic data capture and management, and the implementation of external data sources is preferred. Advanced experience with: Constructing technical programming specifications. Relational Databases. Good Clinical Practices. Good Programming Practices. 21CFR Part 11 Standards. Crafting all files necessary to support an electronic submission in the eCTD format. At AstraZenecas Alexion division, we champion diversity and foster an energizing culture where new ideas thrive. Our commitment to inclusion ensures that life-changing innovations can come from anywhere. We celebrate each others successes and take pride in giving back to our communities. Here, your career is more than just a path; its a journey to making a difference where it truly counts. Ready to make a difference? Apply now to join our team! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Date Posted 03-Jun-2025 Closing Date 09-Jun-2025 Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com . Alexion participates in E-Verify.

About Us What s in it for YOU SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees Admirable work deserves to be rewarded. We have a well-curated bouquet of rewards and recognition program for the employees Dynamic, Inclusive and Diverse team culture Gender Neutral Policy Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits Commitment to the overall development of an employee through a comprehensive learning & development framework Role Purpose The role is responsible for monitoring the implementation of strategies & policies to ensure portfolio growth, monitoring that delinquencies are within benchmarks through regular tracking mechanisms together with collaborating with cross-functional teams and active stakeholder management to achieve organization goals. Role Accountability Optimize strategy (for SBI Shikhar) through regular engagements with the parent Bank Maintain & sustain profitability in Encash Portfolio while meeting Yearly Targets & maintain delinquency below benchmark Design and implement new programs to generate additional revenue and increase the EMI book Optimize credit line allocation across the portfolio to manage spending & portfolio profitability as per MOU Supervise data analytics, modeling, and segmentation for portfolio management Evaluate portfolio segments with high-risk concentration due to high unsecured credit exposure and take appropriate actions to mitigate risks Oversee end-to-end daily review of transaction declines to maximize authorization rate and optimize extended authorization strategy across portfolio segments Manage existing relationships and future implementation of any new card network - Visa/Mastercard/Rupay/Amex/JCB Approve AI /ML /Automation techniques in business processes to enhance process efficiency and customer experience Oversee successful implementation of the exit process of all secured cards with partner banks Approve segmentation based on sourcing channel, CAT C/SE/BANCA/Open market, moratorium behavior, and card usage pattern Ensure optimal utilization of Bureau/alternate data to launch various cross-sell campaigns and portfolio growth strategies Oversee the development and implementation of effective risk management strategies that help mitigate credit losses and increase portfolio Partner with compliance to understand the recent regulatory/network guidelines and analyze implications on the portfolio in order to respond to regulatory guidelines Assist project lead and work with team members to draft the Business Requirement Documents (BRD) and co-ordinate for approval Influence or lead efforts that support the organizations regulatory compliance Support in all the portfolio-related data requirements as per Regulator s requirement for audit & inspection purposes Maintain portfolio loss rates within the defined benchmarks Resolve customer queries escalated by the customer service team wrt to limit the increase Measures of Success Maintain portfolio loss rates and delinquencies within the defined benchmarks Maintain authorization success rate within the defined benchmarks Achieve cross-sell targets as per agreed MOU Process Adherence as per MOU Technical Skills / Experience / Certifications Expertise in Data Analytics & Modelling Strong understanding of the cards business dynamics that will drive the analysis Expertise in data analytics and system tools such as SAS, TRIAD, V+, Python Knowledge of Card networks, Access Control Sys Competencies critical to the role Stakeholder Management Written and verbal Communication Analytical Skills & Problem Solving Process Orientation Strategic thinking and Innovation Agility & responsiveness Qualification Master s degree in relevant field Preferred Industry FSI / Any

We are looking for self-driven professionals interested in a career in Consulting Practice to join our niche Analytics domain, specifically FCCM (Anti-financial crime) practice. The position will support Senior Consultants & Project Managers and teams of talented, professional business and technology consultants in the delivery of business focused solutions for our clients using Oracle product (FCCM), tools and technologies. Utilizing sound Anti-financial crime domain experience, FCCM product skills and experience, the successful applicant will initially work on specific project tasks to achieve successful project outcomes and make clients reference ready. Over the long term, the selected candidate will grow, with the help of extensive training and experience of the team around, into a team lead and eventually project managers or Subject Matter experts in Business domain or Solution Architecture with full accountability & responsibility for the outcome of your own projects. Working at Oracle & in this team provides you an opportunity to make a difference to overall business, continuous learning opportunities with access to best tools & courses and a fulfilling & inclusive environment RESPONSIBILITIES Continuously Learn & build expertise on various FCCM product stack Technical Analysis for the Customer s requirement Requirements Elucidation, Discussion with Customer & Oracle teams Evaluation of Technical requirements against application features. Install Analytics application instances on on-prem or cloud servers, assist in the integration between applications using standard protocols, troubleshoot ETL processes. Involve in proof of concept to validate solutions. Preparation of Technical Specifications for the requirements in AML scenarios, KYC, ECM, Customer Screening, & Transactions Filtering etc. Preparation of Technical Test plans for Customization. Technical / Functional Testing of the Customizations developed. Adherence to Oracle internal processes Working with different internal stake holders in Oracle Working with customer and partners for delivery of Oracle Deliverables SKILLS You must be a Graduate or Postgraduate in Engineering or Science from Top-tier institute with around 9 years or more of relevant experience. Overall experience in FinTech companies in BFSI space with at least 6 years as a Tech Consultant in AML products like SaS AML, FCCM, NICE Actimize, AML Norkom or Detica NetReveal, Feedzai, SEON, Hawk Ai, Silent Eight etc. at least 3 years in implementing FCCM as a Technical Consultant in Financial Crime Compliance Management At least 3years Hands on experience in working with Bank s AML compliance & IT teams Strong banking and Technical knowledge in Retail and/or Corporate Banking, Risk & Compliance with respect to Anti-financial crime At least Four years hands on experience in coding using Java or C or Python is must Experience in Core-banking & Product processors in the FCCM stack suite in such areas as AML scenarios, KYC, ECM, Customer Screening, & Transactions Filtering. Experience in Requirement gathering and solution design and preparation of Technical specification. Prior exposure to working with customers directly during projects Extensively travelled to various customer sites during implementation Usage of tools for story boarding, screen mock-up, work-flow depiction, prototypes. Require understanding of industry trends and current offerings and needs of the markets. Example - Overview in ISO20022 message and similar types, Sanctions screening, eKYC, Red flags in AML & KYC, Case management integration with core banking etc. Digitization and automation of processes with concepts like RPA and UI/UX adoptions etc. FCCM Technical Engineer (Technical Analyst) who knows to Install, configure FCCM, AML scenarios, KYC, Sanction pack, and configure the application. Should have worked on at least dozen FCCM implementations & upgrade FCCM projects, Gone through entire life cycle of the FCCM implementations with multi-year, multi-instance, muti-country, multi-phase, multi-language UI. Should be proficient in pl/sql, exposure to unix shell scripting. Review RFP/RFI from Banks and respond from product perspective Well versed with batch jobs, configuring with Industry standard schedulers. Should have hands-on experience in applying patches, fixes in FCCM product. Ability to clone, configure DR setup, High availability in FCCM stack Navigate through multiple versions of FCCM product stack and migrate data across versions Support product/custom integrations with 3 rd party applications Ability to solution every technical / functional ask in FCCM product stack Prepare Low level Design & High level Architecture documents Must have done at least four FCCM implementations in Retail/Corporate banking space Excellent Communication (written & verbal formats) and documentation skills are a must. Working knowledge in MS Office suite is essential. Industry standard Certifications on Java, Oracle, Python, Data analytics is desirable Although the job does not currently envisage any travel, willingness to travel Onsite to Customer location if required. Should be able to join in 4-8 weeks of offer

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Data Science Associate Consultant Data Science Associate Consultant (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. What You’ll D o Stay updated with the latest developments in Deep Learning and AI research. Implement and fine-tune advanced models in deep learning, with a focus on Transformers for sequential data (e.g., time series, text, and vision). Apply knowledge of large language model (LLM) fine-tuning and alignment approaches to improve model performance. Utilize active learning techniques to train models more efficiently and effectively. Collaborate with cross-functional teams to develop and deploy machine learning models in production. Contribute to research projects aimed at advancing the field of AI and machine learning. Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies. Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability. Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems. Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows. What You’ll Bring Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required 4-7 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions Knowledge of programming (e.g. Java/Python/R); Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills. Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. Exposure to Generative AI and its usage to solve problems is a plus. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc. ) . A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

Role : Name: Open Source Transition Lead Office : Client Deployed Mode : Hybrid Location : Banglore. Note: This role is an opportunity to Client Deployed model under EY payrolls. This is a initial duration of 6 months role, the tenure is subject to extension basis performance. Job Responsibility: • Transition from Sas to open source • Adopting R as open-source language Python • Scope is R&D wide ( 1000+ users) • Upskilling, right tools and program themselves and standard tools • Systems have Sas code and need to be decommissioned Big tech component • Business and Tech change • User engagement, comms, and training and getting voice of Customer (making training program. Please share ur updated resume to sai.m@in.ey.com

Product Manager, Principal The Data Intelligence Center of Excellence is looking for the right candidate to join us as Principal Product Manager, AI and Data Product Platform . This in an incredibly exciting and important role in the Data Intelligence Center of Excellence; this product manager will be responsible for the tech stack that enables our data business transformation, driving step-function improvements in customer outcomes, automation, delightful user experiences, and higher product margins. We're looking for someone with their eyes on the horizon - someone who's able to lay out a big idea and has the drive to make it happen. This individual will be the link between vertical market groups, Centers of Excellence, and our data and application engineering teams. They must understand how to balance customer needs with the needs of the business, demonstrating financial acumen and prudent decision-making. What you’ll do Own multiple product initiatives and lead teams from ideation through validation, delivery, and delight. Lead adoption of the data mesh framework throughout the organization . Create solutions that work for both the business and our customers. Communicate and build rapport with stakeholders throughout the product development cycle. Work across engineering, design, program management, and other stakeholders to execute product strategy. Provide guidance on the prioritization of product backlogs to guide product teams in developing capabilities. What you’ll bring 8 + year's experience within Product Management E xperience in managing the maturation of platforms that support machine learning at scale. A bility to run multiple initiatives and are comfortable interacting with all levels of an organization. You have a pragmatic understanding of technologies, systems, and tools in an ever-changing environment and can prioritize and support your decisions through data and narrative. Experience with agile development practices, methodologies, and tools. Experience with ADLS, Microsoft Fabric, and Databricks and other data management and analytics tools is a plus . Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is a digital-first company which embraces a flexible remote or hybrid work culture. Blackbaud supports hiring and career development for all roles from the location you are in today! Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. Position Overview Boeing Test and Evaluation team is currently looking for one Associate Reliability Engineer to join their team in Bengaluru, KA. Test & Evaluation engineers at Boeing make sure that products at the world’s largest aerospace company continue to meet the highest standards. From quality and reliability to safety and performance, their expertise is vital to the concept, design and certifications of a wide variety of commercial and military systems. Boeing Test and Evaluation (BT&E) -India is an integral part of BT&E and is engaged in supporting lab and flight test for various programs. Position Responsibilities Reliability Engineer will refine various existing reliability tools as well as create new tools/processes for automating existing work making it more efficient and reliable. Examples include reliability analysis, automation of reliability group assignments, uncertainty analysis tool development, and statistical analysis of assets to determine possible advance warnings for groups of assets that could have suspect reliability. This role will be driving the Reliability Management Board for calibrated inventory to review the reliability reassessment recommendations coming from various sources like analytical tools, reports from the ground, feedback from calibration technicians and so on. This position would apply expertise in statistics and reliability to the field of predictive and preventive maintenance through data analysis. The candidate will also be responsible to perform risk assessments such as FMEA, FTA, leveraging RCM principles for Boeing’s production system. The candidate would analyze maintenance data from CMMS to identify trends in production system performance, life cycle cost modelling. Use results to develop maintenance strategies to optimize uptime, reliability and achieve business goal. Influences use of mathematical tools and processes. Forecasts mathematical needs and capabilities to address business requirements. Designs, codes, tests and maintain mathematical software. This position will also be responsible for coordinating and communicating regularly with experts in Boeing organizations around the world. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skills/Experience) A Bachelor’s degree or higher is required. Experience in DfR methodologies, with a strong focus on statistical and reliability modelling. Experience in reliability analysis of failure data such as Weibull, Exponential, PoF, Monte Carlo simulation. Proficient in Lifecycle data analysis, Cost modelling, Availability / Maintainability Modeling, with strong Reliability Engineering fundamentals Experience and knowledge in reliability management of metrology and measurement systems ensuring high reliability and maintainability. Strong background in reliability engineering methodologiesRCM, FMEA, FTA, and RCA Experience with predictive maintenance and prognostic health management techniques such as RUL estimation, conditioning monitoring alerts (AI and machine learning experience is a plus) Proficient with Reliability & Statistical analysis tools like Minitab, Mathematica, JMP, Tableau, Reliasoft Hands-on coding in Python/R/Matlab would be an added advantage Knowledge of failure modes of mechanical, electromechanical and electronic components Awareness of AS9100 or ISO9001 quality management system and ISO 17025 standard ASQ CRE certification will be added advantage Preferred Qualifications (Desired Skills/Experience) Bachelor’s/ Master’s Degree Typical Education & Experience Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of education and experience (e.g. Master+4 years' related work experience, 5+ years' related work experience, etc.). Relocation This position does offer relocation based on candidate eligibility within INDIA. Applications for this position will be accepted until Jun. 06, 2025 Export Control This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited toconducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Tableau Desktop & Server SQL, Oracle & Hive, Communication Skills, Project Management Multitasking, Collaborative Skills Proven experience in developing and working Tableau driven dashboards, analytics. Ability to query and display large data sets while maximizing the performance of workbook. Ability to interpret technical or dashboard structure and translate complex business requirements to technical Preferred technical and professional experience Tableau Desktop & Server SQL ,Oracle & Hive

Comprehensive Capital Analysis Review (CCAR) is an annual regulatory submission to US Federal Reserve Board (FRB). It is used to ensure that institutions have robust, forward-looking capital planning processes that account for their unique risks and sufficient capital to continue operations throughout times of economic and financial stress. As part of CCAR, the Federal Reserve evaluates institutions' capital adequacy, internal capital adequacy assessment processes, and their plans to make capital distributions, such as dividend payments or stock repurchases. The FP&A Statistical Modeler Analyst 2 is an intermediate level position, part of FP&A Model Development team which is responsible for developing econometric time-series models to project balance sheet and income statement for different products / businesses / geographies within the firm to support CCAR and QMMF. Responsibilities: Development of econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes. This includes the calculation of Net Interest Income (“NII”), Non-Interest Revenue (“NIR”), Interest Rate Exposure (“IRE”), and other associated interest rate risk metrics. Developing Champion and Challenger models using different time series forecasting methodologies to comply with SR 15-18 guidance. Development of Benchmark models using Industry data series to meet regulatory requirements Manage the model life-cycle from first-line of defense perspective and participate in Segmentation, Risk Identification, overlay discussions with Businesses and Finance teams. Responsible for writing model development documentation and partner with Model Risk Management (MRM) to address their feedback. Contribute to stakeholder conversations with Businesses, Finance, Treasury and Risk to seek their sign-offs on Champion models. Qualifications / skill sets: 2-4 years of relevant statistical /business experience in financial services Strong understanding of statistical techniques such as Ordinary Least Square regression (OLS), Fixed-effect Panel Regression, Error Correction Models, Seemingly Unrelated regression and Cointegration. Understanding of Machine learning algorithms will be a plus Hands-on experience in programming and modeling using SAS, Python and R is preferred. Follow a culture of accountability and strict quality control of the data integrity and modeling process Ability to build key relationships with finance and business teams Must be able to present technical matters in a way that is meaningful to the audience Education: Masters / PhD in quantitative discipline such as Statistics, Economics or related discipline ------------------------------------------------------ Job Family Group: Risk Management ------------------------------------------------------ Job Family: Risk Analytics, Modeling, and Validation ------------------------------------------------------ Time Type: ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. 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 the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting Show more Show less

Job Summary A seasoned experienced professional with a full understanding of area of specialization resolves a wide range of issues in creative ways. Responsibilities Acts as the project technical lead in domain of expertise May act as a lead on projects of more diverse scope Scopes and defines work effort resource plan and estimates cost on phase project Builds a trusted relationship with the account executive and client account to provide practical guidance in the function and technical aspects of proposed software and set proper expectations to ensure customer satisfaction Knowledge Good knowledge of SAS Products architecture peripheral technologies and implementation best practices Good problem solving organizational decision making written oral and interpersonal skills Ability to relate technical concepts to SAS system applications and user needs Ability to conceptualize clients needs and translate into specific implementation strategies Good knowledge of relational databases scripting languages open source programming design and cloud computing Travel as business requirements dictate at management discretion Certifications Required Bachelors Degree preferably in Business or Computer Science or related field Show more Show less

The Data/Information Mgt 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. 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. Client Remediation Analytics The Client Remediation – Data Analyst, accomplishes results through the management of professional team that Integrates subject matter and industry expertise within a defined area. The candidate is expected to contribute to standards around which others will operate and would require to develop in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. The candidate should possess communication and diplomacy skills that are required to guide, influence, and convince others, in particular colleagues in other areas and Regulators. He/She has responsibility for volume, quality, timeliness, and delivery of end results of an area. Involved in short-term planning resource planning. Indirect responsibility of a cross-functional team to identify and validate client population analytics for issues requiring client remediation and remuneration. Data/Information Mgt Analyst The Data/Information Mgt Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams. Responsibilities: CRX team manages the analysis of the customer remediation issues for NAM Lines of Business ( Cards, Retail bank, Mortgage & Ops). The critical areas of work are : 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. Daily deliverable of routine and defined outputs, while at the same time developing knowledge of the broader context in which the work is being performed. Appropriately assess risk when business decisions are made, demonstrating 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: At least 2-5 years relevant experience Ability to think strategically and the ability to engage resources outside of their direct control to achieve objectives Know-how on analytic tools (SAS E-miner, Knowledge Seeker, SPSS etc.) Big data and machine learning experiences are (R, Python etc.) a plus Tools and Platforms: Business Analysis, Requirement Gathering, Data Analysis Exposure in SAS, SQL, RDBMS Proficient in MS Excel, PowerPoint, and VBA Jira, Bitbucket Domain Skills: Good understanding of banking domain and consumer products (cards, Retail Banking, Deposit, Loans, Wealth management, Mortgage, Insurance, etc.) is preferred. Other Info: Education Level: Bachelors/University degree or equivalent experience/ Engineering/ MBA from a premier institute Overall experience of 2-5 years with experience in Data Analyst role. Experience in Banking Industry is a plus. Job Category: Decision Management Schedule: Full-time Working days: Hybrid - Minimum 3 days in office in a week (adherence to CITI HWW policy) Shift: Regular Local Working Hours (aligned with NAM overlapping working hours) 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: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. 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 the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting Show more Show less

Skill required: Data Management - Tableau Designation: Data Eng, Mgmt & Governance Analyst Qualifications: BE/BTech Years of Experience: 3 to 5 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AIBusiness Intelligence tool which assists in creating visually-appealing reports, charts, graphs and dashboards using data. Such reports are interactive and can be shared among others. What are we looking for Tableau Structured Query Language (SQL) Strong analytical skills Written and verbal communication Commitment to quality Agility for quick learning Ability to work well in a team Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day-to-day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Qualification BE,BTech

Job Title - Senior Business Manager - Banking South Job Location - Bengaluru Nice to meet you! We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. We’re also a debt-free multi-billion-dollar organization on our path to IPO-readiness. If you're looking for a dynamic, fulfilling career coupled with flexibility and world-class employee experience, you'll find it here. About The Job Job role – Senior Business Manager – Banking South Summary Responsible for sales of SAS software products, solutions and services in a high volume, multi-tasking environment to Banking industry in the Southern part of India. Location – Bangaluru Primary Responsibilities Sells software, solutions and services to current and prospective customers; works with other sales/pre-sales/domain/personnel to position and leverage sales opportunities to acquire, grow and retain customers within the Banking vertical. Fulfills wide range of requests for information from prospective customers. Qualifies level of opportunity and resources required. Prospects within a territory or account to uncover business needs. Implements aspects of territory and account management and development; identifies accounts with high "close" potential, qualifies, advances opportunity through milestone steps of sales cycle and forecast time frames to close business within Orion. Works closely with pre-sales resources and executives to facilitate timely response to highly qualified, high revenue potential opportunities. Prepares standard quotations and proposal information as needed; works with other departments to create and finalize contracts and set time schedules for delivery services. Follows up with customers to track satisfaction levels and to discover additional revenue opportunities. Develops a basic understanding of company pricing, licensing procedures and approvals matrix. Fully utilizes account planning process and tools (Account Plans and Opportunity Plans within BASE). Performs other duties, as assigned. Additional Responsibilities Applies knowledge of company marketing goals and objectives, SAS applications, supported hardware platforms, marketing and business trends, and industry knowledge to assess account needs. Recommends appropriate solutions. Works closely with virtual sales team, account managers and executives to facilitate timely response to highly qualified, high revenue potential leads. Assists in evaluation of territory or account potential; uses BASE or Strategic selling methodology, pipeline management and forecasting to identify accounts with high "close" potential, qualifies, and forecasts time frames to close business. Develops action plans to close business for accounts. Develops plans to identify accounts that have the potential for further development and executes them. Teams with pre-sales resources and executives on strategic account development opportunities. Diverse and Inclusive At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here. Additional Information SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com. #SAS Show more Show less

About KPMG INDIA KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. Credit Risk Role Should have prior experience in model development, model validation or model monitoring with GSIBs or Indian Banks. Good understanding of Credit Risk Model Development steps starting with exploratory data analysis, roll rate, vintage analysis, good/bad definitions, factor selections, logistic/ linear regressions including assumptions and limitations, scorecard calibration Credit Risk Model Validation starting from data preparation and analysis, validation tests, back testing, scenario analysis, sensitivity analysis Time Series analysis and forecasting Economic Capital computation Sound knowledge of IRB, IFRS 9, CECL, CCAR, SR-11-7, Scorecard, Wholesale & Retail Portfolio, credit card, CRD, CRR guidelines. Regulatory Guideline - PRA, EBA, FED, HKMA Degree/ Qualified accountant/FRM with regulatory reporting background Strong quantitative and analytical skills with attention to detail and accuracy A power user of Excel spreadsheet and PowerPoint. Acumen and demonstrated knowledge to use visualization tools (i.e., Power BI) will be advantageous Investment banking product knowledge and other regulatory development around IB SAS, Python, R CA/MBA(Finance)/ M.SC (stats) Certifications in CFA/ FRM Good communication skills, analytical and presentation skills are mandatory for the above skill set. If interested please send in your Cvs to anamikagandhi@kpmg.com. Looking for selected candidates to join within 30 to 45 days or an immediate joiner. Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you Show more Show less

Job summary Amazon.com s Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for a data scientist for its Risk Mining Analytics (RMA) team, whose mission is to combine advanced analytics with investigator insight to detect negative customer experiences, improve system effectiveness, and prevent bad debt across Amazon. As a data scientist in risk mining, 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 and reduce bad debt. You will need to collaborate effectively with business and product leaders within BRP 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 a 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 impact the bottom line of the business. 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 - 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 - 2+ years of data scientist 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 - Experience in Python, Perl, or another scripting language

Amazon.com s Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for a data scientist for its Risk Mining Analytics (RMA) team, whose mission is to combine advanced analytics with investigator insight to detect negative customer experiences, improve system effectiveness, and prevent bad debt across Amazon. As a data scientist in risk mining, 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 and reduce bad debt. You will need to collaborate effectively with business and product leaders within BRP 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 a 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 impact the bottom line of the business. 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 - 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 - Experience in a ML or data scientist role with a large technology company

Our Purpose Title and Summary Associate Managing Consultant - Performance Analytics-2 Associate Managing Consultant - Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Roles and Responsibilities Client Impact Manage deliverable development and workstreams on projects across a range of industries and problem statements Contribute to and/or develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Manage working relationship with client managers, and act as trusted and reliable partner Create predictive models using segmentation and regression techniques to drive profits Review analytics end-products to ensure accuracy, quality and timeliness. Proactively seek new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Team Collaboration & Culture Develop sound business recommendations and deliver effective client presentations Plan, organize, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems and synthesize analyses into relevant findings Lead team and external meetings, and lead or co-lead project management Contribute to the firms intellectual capital and solution development Grow from coaching to enable ownership of day-to-day project management across client projects, and mentor junior consultants Develop effective working relationships with local and global teams including business partners Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS) and building, managing, and maintaining database structures Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications Additional data and analytics experience working with Hadoop framework and coding using Impala, Hive, or PySpark or working with data visualization tools (e.g., Tableau, Power BI) Experience managing tasks or workstreams in a collaborative team environment Experience coaching junior delivery consultants Relevant industry expertise MBA or master s degree with relevant specialization (not required)