As the Data & Technology Enablement - End User Computing (EUC) Senior Analyst, you will be part of the GRAO (Global Regulatory Affairs Office), primarily supporting Risk and Control Enhancements (RCE) program with a focus on EUC Remediation ( End User Computing) & Governance. You will be supporting US Time Zone - onsite EUC Governance & Remediation leadership team, Partner with Technology, Data, ERM, Compliance, Liquidity, and other corporate functions to deliver at-scale change in our risk, reporting, and resiliency capabilities of End User Computing tools. The ideal candidate will have experience with EUC remediation and governance as well as change initiatives, working effectively with cross-functional teams and facilitating alignment between business, risk, and technology stakeholders across the organization. The ideal candidate would also understand the systems and data required for managing Risk and/or Remediation at a large financial organization. This role will be responsible to support and drive compliance to EUC Policy and standards, implementation and maintenance of EUC management tools to support EUC Policy, ensure adherence to EUC related controls, EUC registrations and retirements monitoring and reporting, support design and implementation of RCSA to support quality assurance (QA) and first line credible challenges (FLCC) with Business stakeholders and EUC Champions. The role requires a broad and comprehensive understanding of Risk & Control Data, Analytics, and Technology strategy for eliminating data risk with specific focus on EUC risk and remediation. The role will also engage in supporting Internal Audit and Risk and Compliance requirements to ensure that business and functions are compliant with the policies and standards. The individual would be a seasoned multi-disciplinary person with extensive technical and business knowledge and experience. Excellent communication and influencing skills are key for success in the role. Responsibilities: Execute against EUC governance oversight and remediation capabilities. Be a subject matter expert (SME) in processes, data risk & controls, understanding Data & Architecture to support remediation / elimination of EUCs. Ensures adherence and compliance to EUC Policy, Standards and Procedures and manages go-live of changes. Works with the business and functions SMEs and Tech support to implement EUC governance and management tools to support EUC Policy, Standards and Procedures Supports design and implementation of RCSA to support Quality Assurance (QA) and First Line Credible Challenges (FLCC) Operationalize a robust EUC inventory system with appropriate controls partnering with Technology and various stakeholders. This includes inventorying of EUCs, SAS and AI solutions. EUC Inventory monitoring, EUC remediation tracking and insightful reporting Works closely with EUC Champions to manage new EUC creation & registration process. Provide support & independent review of retirement plans (New EUCs and Exceptions), exception monitoring which includes review and approval of EUCs continued use. Support planning and change control processes for Risk & Control Enablement (RCE) related to Technology and Data work embedded in individual RCE programs as it relates EUC risk elimination. Promptly escalate any issues on capability structure, scope, or execution Provide credible challenge for all aspects of the pertinent EUC processes in support of RCE Program, including and not limited to: RAG ratings, KPIs, status updates, path to green, adherence to dates and deliverables, and quality of deliverables. Required: Must be a strong team player, ready to step up as and when the need arises 10+ years experience required. Experience working as a self-directed contributor and be able to meet complex business objectives in a highly matrixed environment. Strong Program & Project Management skills Experience in technology and data, including large transformation programs with focus on EUC risk management and/or remediation. Specific subject matter expertise in one or more of the following domains: enterprise risk management, GRC, compliance, risk and controls, operational risk, operational resiliency, liquidity Well-developed listening skills Articulate and effective communicator Strong people skills, and proficient with working with teams in complex operational environment Ability to influence positive outcome without direct functional control. No surprise: approach in communicating issues and requests. Strong Leadership skills with proven history of delivering positive and sustainable change. Knowledge of general risk, compliance and governance concepts and methods such as policy management, risk assessments, control testing etc. Understanding of data and technology needs to support regulatory expectations. Bachelors and/or masters degree in business, operations, data, or technology Preferred or nice to have specific skills: Understanding of key banking regulations Good understanding of the SDLC and Agile Scrum methodologies to deliver solutions. Information Security, Risk Management, and Project Management credentials Line 2, Line 3, Line 1.5 experience with focus on Technology or Audit or Quality Assurance Understanding and experience with BCBS 239 Remediation with focus on Technology and Data in a GSIB Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for . We value an inclusive workplace and understand flexibility means different things to different people. Apply today and talk to us about your flexible working requirements and together we can achieve greater.

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 youre looking for a dynamic, fulfilling career coupled with flexibility and world-class employee experience, youll find it here. About the role: The role is based in the Pune R&D Center, at SAS R&D Pune facility. We are looking for a Software Manager to development product within the Customer Intelligence line of business. You will be leading the development activities, optimizing allocation for team member, lead the team technically, involve all the stakeholders appropriately, and maintain project standards and best practices and deliver outcomes as planned. Essential Experience: At least 12 years of working experience in software development At least 2 years of management/leading experience of software development teams Experience of architecting technically sophisticated systems. Strong experience in Agile software development cycle Experience in enforcing best technical practices in software development Excellent written and oral communication skills. Understanding of manual and automation testing processes and architecture Understanding of full stack of technology Excellent knowledge of enterprise design patterns Good understanding of data modelling best practices Experience in leading/managing teams with energy and optimism Ability to motivate team members to function collaboratively Good in multi-tasking Experience of these items would be useful: Customer Intelligence domain preferred Experience with Docker, Kubernetes Management in development on any public cloud providers like Amazon Web Services, Microsoft Azure, and Google Cloud, etc. Managing Continuous Integration and Continuous Delivery (CI, CD) model We are a friendly team, and we ll be offering you plenty of opportunities to develop your career. Interested? Then please get in touch to find out more! 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. Leads development project designs and enforces technical standards to ensure solutions execute correctly across various supported environments (i.e. browsers, devices, operating systems). 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. Organizes, prioritizes, and assigns resources to implement and resolve code changes related to enhancements, redesigns and/or bug fixes. 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, Marketing, Sales, Customers, and others within SAS. 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, feedback, professional growth through collaboration with SAS human resources, SAS education and executive leadership. CANDIDATE PROFILE Background and Experience SAS is seeking a Software Manager with overall experience of 12+ years, with minimum 2 years management/leading experience. The candidate should have development and management experience in Saas enterprise applications. The candidate should have excellent organizing and prioritizing skills, and sharp technical skills to choose the right direction technically. Candidate should have proven track record of delivery management and people management. Candidate should also have excellent verbal and written communication skills and possess the confidence to pull the work in the right direction, keeping all stake holders involved and engaged. #highlightedjob

Leverage quantitative skills to derive answers to clients ongoing business analytics and reporting questions. Work collaboratively with clients to ascertain the client s specific business information needs. Execute a specific plan for analyzing the data necessary to secure solutions to clients particular business information need(s ). Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis. Evaluate, assess and analyze the data necessary to provide solutions to the client s particular business information needs. Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used. Gain immediate familiarity with client s internal processes. Develop expertise within a client analytics area. Be available for clients during regular working hours. What you'll Bring MBA with a bachelors (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute. Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA High motivation, good work ethic, maturity and personal initiative Aptitude for, and enjoyment of, leading and managing teams. Effective oral and written communication skills that enable personal impact with senior-level decision makers. Strong attention to detail, with a quality-focused mindset Analytic problem-solving skills, with a creative and innovative outlook Client service orientation

Our team has deep understanding of EDC tools like Rave, Veeva, InForm, openClinica, clinical data repositories like SAS LSAF, Oracle LSH, eCS elluminate, Metadata Repositories like Nurocor, Sycamore, Formedix, statistical computing environments like Sycamore, Domino, Sas Viya systems, Clinical data review systems, RBQM systems, and more. With experience as solution architects, business analysts, or techno-functional SMEs in GXP compliant validated environments, they guide the creation of solution, data flows and strategies for building clinical development and data management systems. Their offerings encompass technical advisory, consultancy, developing of clinical data platforms and products, system integration, and intelligent automation. Additionally, the team has created innovative tools through advanced technology and data science, aiding numerous clients in expediting the drug development process. What you'll Do: You will design & implement various innovative solutions in the realms of Clinical data management, analytics Work in clinical data management and analytics area as part of strategy building, assessment and technology implementation project as business and data analyst Lead and participate in clinical business process discussions with clients, identify requirements and user stories Conduct online interviews and workshops to gather requirements to support the business needs of users Author high-level user stories and develop related tasks, acceptance criteria and review test cases Participate in clinical business process discussions with clients, identify requirements and user stories Work closely with project teams in creating Requirement Specifications, RTM and other project documents Plan and facilitate various Agile meetings and artefacts, including sprint planning, review & retrospectives, daily stand-ups Perform business process modelling, data flow, user experience modeling, and basic solution architecture diagramming Act as techno-functional Liaison between client business user and project engineering team to provide correct business context, business rules The ideal candidate will have a strong background in the project lifecycle, with experience in large and complex programs. They will have a track record of successfully managing people, and be able to provide support and escalation routes for queries, define and plan analysis deliverables, and agree on analysis approaches. Experience in building a Business Analysis capability, mentoring and upscaling more junior colleagues, and contributing to the growth of a BA community is also essential. What you'll Bring bachelors degree Pharma/ Bioinformatics / Medicine or related disciplines Masters degree in Business Analyst, Engineering or Science preferred. 5-10 years of experience working within Life Science Domain as solution architect / business analyst / data analys t is required. Experience of working in building solution around drug development - clinical data management areas like discrepancy management, clinical data repositories, clinical issue management, Operational data repositories, operational reports Experience working in end-to-end Clinical Data Repository implementation with Biometrics space will be preferred. Experience working in Clinical data management area as BA or Subject matter expert Understand the end to end process for clinical data management and Analysis Exposure to clinical data coordination and clinical data management area. Experience in building and delivering GxP compliant solutions for large enterprise program is required. Exposure to programming language like R, Python and SAS is preferred.

An candidate will be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. You will be detail-oriented and organized, capable of handling multiple projects at once, and capable of dealing with ambiguity and rapidly changing priorities. You will have expertise in process optimizations and systems thinking and will be required to engage directly with multiple internal teams to drive business projects/automation for the RBS team. Candidates must be successful both as individual contributors and in a team environment, and must be customer-centric. Our environment is fast-paced and requires someone who is flexible, detail-oriented, and comfortable working in a deadline-driven work environment. Responsibilities Include Works across team(s) and Ops organization at country, regional and/or cross regional level to drive improvements and enables to implement solutions for customer, cost savings in process workflow, systems configuration and performance metrics. Basic Qualifications Bachelors degree in Computer Science, Information Technology, or a related field Proficiency in automation using Python Excellent oral and written communication skills Experience with SQL, ETL processes, or data transformation Preferred Qualifications Experience with scripting and automation tools Familiarity with Infrastructure as Code (IaC) tools such as AWS CDK Knowledge of AWS services such as SQS, SNS, CloudWatch and DynamoDB Understanding of DevOps practices, including CI/CD pipelines and monitoring solutions Understanding of cloud services, serverless architecture, and systems integration As a Business Intelligence Engineer in the team, you will collaborate closely with business partners, architect, design, implement, and BI projects & Automations. Responsibilities: Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports and dashboards. Development of moderately to highly complex data processing jobs using appropriate technologies (eg SQL, Python, Spark, AWS Lambda, etc) Development of dashboards and reports. Collaborating with stakeholders to understand business domains, requirements, and expectations. Additionally, working with owners of data source systems to understand capabilities and limitations. Deliver minimally to moderately complex data analysis; collaborating as needed with Data Science as complexity increases. Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues. Adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Internal job description Retail Business Service, ARTS is a growing team that supports the Retail Efficiency and Paid Services business and tech teams. There is ample growth opportunity in this role for someone who exhibits Ownership and Insist on the Highest Standards, and has strong engineering and operational best practices experience. Basic qualifications: 5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field. Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes. Strong experience with engineering and operations best practices (version control, data quality/testing, monitoring, etc) Expert-level SQL. Proficiency with one or more general purpose programming languages (eg Python, Java, Scala, etc) Knowledge of AWS products such as Redshift, Quicksight, and Lambda. Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams. Preferred qualifications: Experience with data-specific programming languages/packages such as R or Python Pandas. Experience with AWS solutions such as EC2, DynamoDB, S3, and EMR. Knowledge of machine learning techniques and concepts. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc and using databases in a business environment with large-scale, complex datasets

Role & responsibilities : Collaborating with cross-functional teams (e.g., clinical researchers, medical experts, data scientists) to design clinical studies and research protocols. Developing statistical analysis plans (SAP), including the identification of primary and secondary endpoints, sample size calculations, and statistical methodologies. Ensuring statistical methods are aligned with regulatory requirements and industry standards, especially in clinical trials. Providing expertise on randomization techniques and adaptive designs. Leading the analysis of complex datasets, including data from clinical trials, epidemiological studies, and observational studies. Ensuring proper data cleaning, transformation, and validation processes are followed to guarantee the integrity of the data. Using advanced statistical software and techniques (e.g., R, SAS, STATA) to perform statistical modeling (e.g., regression models, survival analysis, mixed models). Analyzing and interpreting results, ensuring conclusions are scientifically sound, and communicating findings in a clear, concise manner. Developing and applying advanced statistical methodologies and techniques tailored to specific study needs, such as longitudinal analysis, survival analysis, or Bayesian methods. Assessing and adapting statistical methods as necessary based on emerging data or evolving study designs. Participating in regulatory meetings and discussions, providing statistical justification for study results and approaches. Mentoring and providing guidance to junior biostatisticians and other team members on statistical methodologies, software, and best practices. Developing training materials and conducting workshops on statistical topics for internal teams and collaborators. Ensuring statistical methods and processes are consistent with industry best practices and organizational standards. Conducting quality control procedures on statistical analyses to verify results and ensure accuracy and validity. Preparing statistical reports, manuscripts, presentations, and posters for scientific journals, conferences, and internal stakeholders. Clearly presenting complex statistical results to non-statistical audiences (e.g., clinical or regulatory teams), ensuring the results are understood and actionable. Working closely with other teams, including clinical researchers, project managers, and data scientists, to ensure the alignment of statistical analyses with research objectives. Actively participating in meetings, strategy sessions, and research reviews to provide statistical insights that can influence study direction and design. Translating statistical findings into actionable recommendations for decision-making. Ensuring that statistical analyses comply with ethical standards and regulatory requirements (e.g., Good Clinical Practice (GCP), Good Statistical Practice (GSP)). Supporting the development of ethical guidelines for statistical methodologies, including ensuring patient safety and data confidentiality. Additional Skills: SAS Programming R Programming (Optional) Advanced knowledge of biostatistics, including statistical theory, methods, and applications. Proficiency in statistical software such as SAS, R, and STATA. Strong communication skills, especially in translating complex statistical concepts into practical recommendations. Attention to detail and the ability to ensure the quality and accuracy of analyses. Experience with clinical trials and regulatory submissions is often critical Qualifications: Master's Degree (Preferred): A Master's in Biostatistics, Statistics, Public Health, or a related field is commonly required for many biostatistician roles, especially in CRO, research institutions, pharmaceutical companies, or public health organizations

The SAS to Databricks Migration Developer will be responsible for migrating existing SAS code, data processes, and workflows to the Databricks platform This role requires expertise in both SAS and Databricks, with a focus on converting SAS logic into scalable PySpark and Python code The developer will design, implement, and optimize data pipelines, ensuring seamless integration and functionality within the Databricks environment Collaboration with various teams is essential to understand data requirements and deliver solutions that meet business needs

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

The role is based in the Pune R&D Center, at SAS R&D Pune facility. We are looking for a Software Manager to development product within the Customer Intelligence line of business. You will be leading the development activities, optimizing allocation for team member, lead the team technically, involve all the stakeholders appropriately, and maintain project standards and best practices and deliver outcomes as planned. Essential Experience: At least 12 years of working experience in software development At least 2 years of management/leading experience of software development teams Experience of architecting technically sophisticated systems. Strong experience in Agile software development cycle Experience in enforcing best technical practices in software development Excellent written and oral communication skills. Understanding of manual and automation testing processes and architecture Understanding of full stack of technology Excellent knowledge of enterprise design patterns Good understanding of data modelling best practices Experience in leading/managing teams with energy and optimism Ability to motivate team members to function collaboratively Good in multi-tasking Experience of these items would be useful: Customer Intelligence domain preferred Experience with Docker, Kubernetes Management in development on any public cloud providers like Amazon Web Services, Microsoft Azure, and Google Cloud, etc. Managing Continuous Integration and Continuous Delivery (CI, CD) model We are a friendly team, and we ll be offering you plenty of opportunities to develop your career. Interested? Then please get in touch to find out more! 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. Leads development project designs and enforces technical standards to ensure solutions execute correctly across various supported environments (i.e. browsers, devices, operating systems). 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. Organizes, prioritizes, and assigns resources to implement and resolve code changes related to enhancements, redesigns and/or bug fixes. 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, Marketing, Sales, Customers, and others within SAS. 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, feedback, professional growth through collaboration with SAS human resources, SAS education and executive leadership.

About Arctera Arctera keeps the world s IT systems working. We can trust that our credit cards will work at the store, that power will be routed to our homes and that factories will produce our medications because those companies themselves trust Arctera. Arctera is behind the scenes making sure that many of the biggest organizations in the world - and many of the smallest too - can face down ransomware attacks, natural disasters, and compliance challenges without missing a beat. We do this through the power of data and our flagship products, Insight, InfoScale and Backup Exec. Illuminating data also helps our customers maintain personal privacy, reduce the environmental impact of data storage, and defend against illegal or immoral use of information. It s a task that continues to get more complex as data volumes surge. Every day, the world produces more data than it ever has before. And global digital transformation - and the arrival of the age of AI - has set the course for a new explosion in data creation. Joining the Arctera team, you ll be part of a group innovating to harness the opportunity of the latest technologies to protect the world s critical infrastructure and to keep all our data safe. Job Summary Respond to customer inquiries (voice or other digital communications) for an assigned product(s) within a Technical Support Engineer environment. Provide technical support to Arctera customers, partners, and field support staff with varying levels of support maintenance entitlements i.e., entry level, through to premier level entitlements, with focus on diagnosing, troubleshooting, and debugging Arctera software and hardware, including cloud platforms. Position provides an opportunity to continuously develop technical skills through learning and supporting a platform that brings together availability, protection, and insights for our customers. Position requires a motivated, self-starter and self-learner with a customer-first attitude. Primary Accountabilities Provide technical support for Arctera products, on-premises and in cloud platforms. Answer technical questions from customers, partners, and field reps. Resolve cases per productivity, performance and SLA standards and support goals. Document and diagnose system issues resulting in production outages. Research, document, and collaborate on cases as required. Author or update technical documents in Arctera Knowledge Base. Address multiple issues simultaneously, with a case for each issue raised. Establish close interactions with team members. Determine when necessary to engage team members to enable timely case resolution. Participate in weekly meetings and forums with other technical support engineers. Participate in evaluation of new products and features. Knowledge Core Technologies: Experience across one or more of the following. Operating Systems: Windows Servers. System Administration: Server Hardware, Software, maintenance, and troubleshooting. Networking: TCP/IP, TLS, PKI, Firewalls, Routing, VLANs, Link Aggregation (802.3ad, balanced-alb), Authentication (LDAP, Active Directory), DNS, NFS, CIFS. Storage: LVM, RAID, DAS, SAN, NAS, Software-Defined Storage, SAS, Fibre Channel. Diagnostics: Log Analysis, Process Tracing, Debugging, Kernel Panic, Root Cause Analysis. Observability: Application Performance Management, reliability, availability, and serviceability. Infrastructure: Data Center Operations / Management. Arctera product offerings. Additional knowledge: Working knowledge in one or more of the following. Enterprise Information Systems, Application Servers, and Hardware Infrastructure. Virtualization: VMware, Hyper-V, RHV, Nutanix, and Containers (Docker, Podman). Databases: Microsoft SQL Server / MySQL / PostgreSQL. Oracle Database. IBM DB2. Microsoft Exchange / Microsoft 365. Storage: DAS/NAS/SAN: Switches, Zoning, HBA, SFP, WWN, WWPN. Cloud: Object Storage (AWS, Azure, GCP) and on-premises disaster recovery solutions. Basic familiarity with SaaS, PaaS, IaaS, and APIs. Clustering and High Availability systems. Experience with scripting languages (i.e., Python, Perl, and PHP) is beneficial. Skills & Competencies Customer Service Positive attitude and customer centric mindset. Commitment to delivering customer value. Assist customers on live calls via remote assistance. Collaboration Engagement with peers in an open and collaborative environment. Ability to work with multiple stakeholders: Sales, Engineering, Development. Demonstrate b sense of willingness to learn, share, and work together as team. Communication skills Effective customer relationship management. Capable of navigating customer expectations with empathy. Active and reflective listening, problem solving and troubleshooting techniques. Clear and concise technical documentation: Problem Statement, Case Notes, Knowledge Articles. Ability to simplify technical topics in common terms. Time management Plan and prioritize activities effectively. Ability to pivot swiftly to meet customer needs. Apply flexibility and adapt to changing priorities in a dynamic working environment. Maximize engagement with team members to effectively drive case resolution. Troubleshooting Apply decision making and problem-solving techniques. Use systems knowledge to formulate a clear problem statement. Ability to trace application faults at a process level in distributed system environments. Think quickly and react to situations with customer impact. Ability to break down complex problems into simple components Preferred Certifications CompTIA: Network+, Server+. Cloud Certifications: Amazon, Microsoft, Google. Job Complexity Works on problems of moderate scope where analysis of situations or data requires a review of a variety of factors. Exercises judgment within defined procedures and practices to determine appropriate action. Builds productive internal/external working relationships. Supervision Normally receives general instructions on routine work, detailed instructions on new assignments under general supervision. Follows established directions. Work is reviewed for accuracy and overall adequacy. Experience / Education / Qualifications Diploma holders / Graduates / Postgraduates in Engineering / Science. 3+ years of Sys Admin or related enterprise Technical Support Certification in one s product area. 3+ years experience providing 2nd /3rd level support in an enterprise class product company, or 3+ years experience working in a LIVE production environment or datacenter with heterogeneous IT infrastructure. 2+ years experience of public and/or private cloud platform experience preferred.

Your role As a Senior ML Engineer, you will play a crucial role in analyzing, interpreting and building ML models to drive informed business decisions. You will be responsible for developing and implementing OCR solutions, analyzing complex datasets, and providing valuable insights to support our business objectives. Your expertise in statistical techniques, data mining, and reporting will contribute to optimizing efficiency and quality within our organization. What youll be doing Roles & Responsibilities Interpret and analyse data using statistical techniques to identify trends, patterns, and insights. Develop and implement databases, data collection systems, and data analytics strategies to optimize statistical efficiency and quality. Own and lead the project and the team under you. Acquire data from primary and secondary sources to build models. Build, train and deploy models into Production systems. Clean and filter data by reviewing computer reports, printouts, and performance indicators to identify and correct code problems. Collaborate with management to prioritize business and information needs. Identify and define new process improvement opportunities based on data analysis findings. Act as primary and sole contact for the project. Develop and present ongoing reports and dashboards to stakeholders, highlighting key insights and recommendations. Ability to take ad hoc meetings to support offshore customer queries. Utilize reporting packages, databases, and programming languages (such as SQL, Python, or R) for data analysis and visualization. Stay updated with the latest trends and advancements in data analysis techniques and tools. Skills Required Bachelors degree in computer science, Statistics, Mathematics, or a related field. A masters degree is a plus. Minimum of 5 years of proven working experience as ML Engineer or Data Science Engineer, preferably in a technology or finance-related industry. Strong technical expertise in data models, database design development, data mining, and segmentation techniques. Proficiency in reporting packages (e.g., Business Objects), databases (e.g., SQL), and programming languages (e.g., Python, R frameworks). Knowledge of statistics and experience using statistical packages for analyzing datasets (e.g., Excel, SPSS, SAS). Exceptional analytical skills with the ability to collect, organize, Analyse, and disseminate significant amounts of information with attention to detail and accuracy. Proficient in querying databases, report writing, and presenting findings effectively to both technical and non-technical stakeholders. Strong problem-solving abilities and a proactive mindset to identify opportunities for process improvements. Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment. Experience in building OCR models is an advantage. About Corpay Corpay is a global technology organisation that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments. All offers of employment made by Corpay (and its subsidiary companies) are subject to the successful completion of satisfactory pre-employment vetting by an independent supplier (Experian). This is in accordance with Corpays Resourcing Policy and include employment referencing, identity, adverse financial, criminal and sanctions list checks. We do this to meet our legal and regulatory requirements. Corpay is dedicated to encouraging a supportive and inclusive culture among our employees. It is within our best interest to promote diversity and eliminate discrimination in the workplace. We seek to ensure that all employees and job applicants are given equal opportunities. Notice to Agency and Search Firm Representatives: Corpay will not accept unsolicited CVs from agencies and/or search firms for this job posting. Resumes submitted to any Corpay employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Corpay. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you.

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 youre looking for a dynamic, fulfilling career coupled with flexibility and world-class employee experience, youll find it here. About the job As a Server Systems Position, you will support day-to-day mission critical operations of SAS complex global compute environments. The Infrastructure as a Service (IaaS) Operations team is responsible for maintaining operational stability of SAS global server systems (Linux/Windows) internal and hosting server (on prem and cloud) infrastructures. The engineer performs incident management, proactive operations, implements basic requests/changes and documents team procedures. Primary responsibilities for this role include: Investigation and management of global and hosting Windows and Linux OS related incidents. Proactive management of Windows and Linux OS infrastructure to help reduce reactive incidents. Fulfill Windows/Linux related request and change tickets. Produce and maintain current documentation for areas of responsibility. Experience: 3-4 Years Required Qualifications Bachelors degree in Computer Information Systems, Computer Science, or related quantitative field or related experience. 3+ years of experience in a heterogeneous, dynamic, customer-focused environment. Extensive experience on Incident management. Experience with Public Cloud with a focus on Azure/AWS/GCP. Experience with Redhat Linux and Windows operating systems, 1 year of experience with your primary OS. Support experience with virtualization technologies (preference of VMWare). Experience with infrastructure architecture including Servers, Network, SAN/Storage and Backup Services to allow for efficient implementation and non-disruptive expansion and upgrades. Experience in scripting languages (Bash, Python, PowerShell, Perl, etc). Preferred Qualifications Collaborative team experience with superior problem-solving skills. Experience with LDAP or Microsoft Active Directory integration within UNIX/Linux. Understanding best practices around information security and data privacy in relation to system access and availability. Support experience with host-side SAN storage integration and utilization. Experience with Public Cloud with a focus on Azure/AWS/GCP. Understanding best practices around information security in relation to confidentiality, integrity, and availability. Familiarity with ISO 27000-series standards. Consulting or work experience with regulated industries, such as, government, health care, and financial institutions. Diverse and Inclusive #SAS

We are seeking an exceptional Data Scientist to join a team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains. We leverage risk models (including boosted trees and graph neural networks) as well as vision and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Explore and evaluate state-of-the-art algorithms and approaches in risk modeling and vision/language models Translate product and CX requirements into measurable science problems and metrics. Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact Evaluate model performance in production and refresh/implement necessary updates to maintain optimal system performance. A day in the life Understanding customer problems, project timelines, and team/project mechanisms Proposing science formulations and brainstorming ideas with team to solve business problems Writing code, and running experiments with re-usable science libraries Reviewing labels and audit results with investigators and operations associates Sharing science results with science, product and tech partners and customers Contributing to team retrospectives for continuous improvements Participating in science research collaborations and attending study groups with scientists across Amazon About the team We are a team of scientists building AI/ML solutions to make Amazon Earth s most trusted shopping destination for safe and compliant products. 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 Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company

We are seeking an exceptional Data Scientist to join a team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains. We leverage multi-modal and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Explore and evaluate state-of-the-art algorithms and approaches in multi-modal classification, large language models (LLMs), intent detection, information retrieval, anomaly and fraud detection, and generative AI Translate product and CX requirements into measurable science problems and metrics. Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact A day in the life Understanding customer problems, project timelines, and team/project mechanisms Proposing science formulations and brainstorming ideas with team to solve business problems Writing code, and running experiments with re-usable science libraries Reviewing labels and audit results with investigators and operations associates Sharing science results with science, product and tech partners and customers Contributing to team retrospectives for continuous improvements Participating in science research collaborations and attending study groups with scientists across Amazon About the team We are a team of scientists building AI/ML solutions to make Amazon Earth s most trusted shopping destination for safe and compliant products. 2+ years of data scientist experience 2+ 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 machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company

0px> Who are we? In one sentence Understand the business needs of the customer and assess the impact of those needs in order to communicate and implement the recommended efficient solutions. What will your job look like? Analyst, Recommendation & Analytics: Primary Skills Maintain and enhance SAS RTDM (Real-Time Decision Manager) workflows for decisioning logic and customer treatment strategies. Secondary - Develop and design and execute marketing campaigns using SQL, and SAS CI360, SAS Direct. Maintain and enhance existing SAS Direct campaign configurations and ensure timely campaign execution. Technologies -SAS Direct, SAS CI 360, BI Tools" All you need is... Degree in Computer Science or Industrial Engineering & Management - Information System. Customer-facing experience - ability to communicate the Amdocs solution using various methods (presentations, demos, and so on). Wide knowledge of relevant products and E2E Business process. Knowledge of the telecom industry and Amdocs business processes (ETOM, ASOM). Experience in managing a team in cross-Amdocs domain solutions. Why you will love this job: Use your outstanding business analysis skills to make a significant impact on leading solutions that produce the most efficient product solutions. Be a key member of a global, dynamic and highly collaborative team with various possibilities for personal and professional development! You will have the opportunity to work in multinational environment for the global market leader in its field. We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

The Senior Business Analyst role will provide business analysis expertise to help deliver complex initiatives. The purpose of this role is to: Work in an agile and collaborative team, working with a range of business and technical stakeholders to deliver outcomes and value for customers. Apply business analysis skills, techniques, and activities to understand, validate, synthesise, and articulate problems, opportunities, requirements, options, and solutions. Identify opportunities to deliver continuous improvement to ensure the continuous delivery of customer centric benefits. Share knowledge and support capability growth of peers and Business Analysts. Provide passion about agile product development and will help drive continuous improvement in our scrum teams. Banking is changing and we re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you ll be building your future, while helping to build ours. Role Type: Permanent, 4.4 Role Location: Bengaluru Work Hours: 7 AM to 4 PM What will your day look like? As a Senior Business Analyst, you will: Providing technical business analysis expertise to help deliver complex initiatives. Developing requirements that are fit for purpose and accurate, display an understanding of the implications to the project or program, and manage the requirements throughout the life of the project. Developing presentations and documentation to communicate insights and recommendations in a compelling manner, and present regular project updates to the wider team. Nurturing a growth mindset and curiosity within our teams. Actively researching industry trends, standards, and methods, offering technical insights and direction. Ensuring quality control and data governance processes are followed. Adhering to established ANZ policy and procedures and display an understanding of project & program practices and governance. Ensuring that assigned business analysis activities are conducted efficiently and within agreed timeframes and ensure that the outputs and benefits are clear. What will you bring? The must have knowledge, skill, and experience (KSE) the role requires are: 5+ years experience as a Business Analyst and currently operating at senior level. Understanding and experience with Data warehousing, data projects or data migration is required. Ability to use SQL or SAS is highly recommended. Analytical skills while being highly organised and adaptable. Positive can-do attitude and an excellent communicator both written, verbal and visual. Problem solver and critical thinker. Natural ability to build relationships with stakeholders within the business and technology. Growth mindset. The good to have knowledge, skill and experience (KSE) the role requires are: Experience delivering work and leading others in an Agile context (Scrum Master experience is beneficial). Experience in the creation of user stories into minimum viable increments, acceptance criteria and specification by example. Experience delivering data outcomes that drive decision making in a financial services or banking organisation. Data warehousing experience. Experience with data modelling and databases will be advantageous. Expert in story mapping and building backlogs to support iterative development.

Lead Data Manager - ERT Legacy In addition to ensuring high quality data is provided to the Sponsors, the Lead Data Manager takes an active role in developing employees by providing mentoring and training on Clario processes and systems, and oversight and support to ensure DM staff successfully perform their daily duties. ESSENTIAL DUTIES AND RESPONSIBILITIES: Oversee assigned team: Direct the hiring, orientation, and training for the Clinical Data Management team members. Perform routine employee evaluations. Mentor and develop employees to prepare them for future growth opportunities within the company. Provide mentoring and organize training on new equipment, processes, or systems, including new hire orientation and introduction. Organize the process to ensure that the team s data management files are current and complete. Support routine status meetings with Sponsor/CRO and internal teams for your staff. Monitor the productivity and quality of the Clinical Data Management team: Develop method to track and report key quality indicators, productivity, successful data delivery, and query metrics. Conduct routine reviews with Managers, Supervisors and staff on production and key quality indicators. Support the assigned employees in setup of edit checks and proper auctioning of edit check output Serve as the primary internal and Sponsor contact for Data Management questions, issues, or concerns. Define the Data Management Plan (DMP) through collaboration with clients, Project Management and Account Management. Through interactions with the Sponsor and Clinical Data Programming department, provide support to the DM team members in development, review, and finalization of data transfer requirements. Ensure the quality of study set-ups by participating in the review and approval process for all Data Management owned modules. Ensure high customer satisfaction by delivering on promises, meeting timelines, and providing excellent customer service at all times. Assist in the preparation of monthly reporting by providing metrics as required Develop, review and revise Standard Operating Procedures, Standard Work Instructions, Job Descriptions, and Departmental Training as needed. Create and or/review and approve SOPs and SWIs to ensure best practices are defined and followed during the lifecycle of a study. Assist Business Development and Quality Assurance with internal and external client meetings and audits and support Clinical Data Management team at such meetings. OTHER DUTIES AND RESPONSIBILITIES: Support clear and effective communication with Sponsor and other Clario departments in the single projects (e.g. Project status, timelines, etc.) Contribute to continuous process improvement including workflow efficiencies and associated workflow documentation Job Profile Job Description Lead in resolving Quality Event issues related to study-specific data management activities Work with the Director to develop training programs Administer training as needed QUALIFICATIONS AND SKILLS NEEDED: Education : BS/BA degree in Life Sciences or related field preferred Experience : 5 + years Data Management related experience Prior leadership experience a plus Proficient in Microsoft Office applications Strong organizational, interpersonal, time-management, and problem-solving skills with good leadership abilities Ability to manage multiple priorities Strong attention to detail Previous SAS or SQL exposure or experience a plus Excellent communication skills and ability to work well with others Ability to communicate effectively in English We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. UnitedHealth care is part of the family of companies that make Optum, part of the UnitedHealth Group family of businesses one of the leaders across most major segments of the US health care system. When you work with Optum, part of the UnitedHealth Group family of businesses, what you do matters. Its that simple"and its that challenging. In providing consumer-oriented health benefit plans to millions of people; our goal is to create higher quality care, lower costs and greater access to health care. Join us and you will be empowered to achieve new levels of excellence and make a profound and personal impact as you contribute to new innovations in a vital and complex system. This is an Associate Project Manager role within the Financial Data Management's FP3 (Finance Programs, Projects, & Products) Team. This position will provide critical General Ledger configuration responsibilities, perform user acceptance testing, act as an intermediary between accounting and technical teams, and support FTS technical enhancement functions for UHC Finance's Medicare business (M&R). This includes general ledger accounting, financial controls and reporting, and financial data repositories and sub-ledgers. This role will require solid analytical skills, customer focus, communication, problem-solving, and organizational skills to ensure the successful management of FTS rule updates. The candidate will provide subject matter expertise for financial applications, input into project solutions, collaborate with stakeholders to gather and document business rule configuration requirements, and take a lead role in user acceptance test planning and execution. The primary focus of this role will be project support and operational maintenance of complex FTS tables and rules related to our Medicare financial reporting. Primary Responsibilities: Demonstrates extensive knowledge of GL and sub-GL data sources, and how the information is recorded (e.g., chart of accounts, revenues, expenses, claim costs, etc.) Exhibits critical thinking and intellectual curiosity with the ability to resolve issues and questions Provides analysis and dissemination of complex concepts Understands complex financial and IT concepts Works independently, as well as collaborates with various teams throughout UHC and Optum Internalizes, interprets, and documents complex scenarios clearly and concisely Executes and facilitates user acceptance testing efforts and defect resolution Defines GL derivation rules for financial transactions Determines the scope of business testing based on a financial risk assessment Supports business process and automation enhancements Collaborates with business partners to develop test documentation, requirements, and timelines Provides test status updates as required by program directives Facilitates and organizes end-user training Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors or Masters degree in Accounting or equivalent courses 5+ years of experience in Finance and Accounting Knowledge of accounting practices and general ledger reporting Solid knowledge and experience with user acceptance testing processes Working knowledge of data mining/reporting tools such as SAS/SAS Enterprise Guide and/or SQL Intermediate proficiency in MS Excel, Access, and MS Word Proven solid written and oral communication skills Proven solid time management, prioritization, and organizational skills Demonstrated solid financial acumen Demonstrated solid data analysis skills Preferred Qualifications: Experience in the healthcare industry Knowledge of UHC general ledger strings Exposure to PeopleSoft

As a Server Systems Position, you will support day-to-day mission critical operations of SAS complex global compute environments. The Infrastructure as a Service (IaaS) Operations team is responsible for maintaining operational stability of SAS global server systems (Linux/Windows) internal and hosting server (on prem and cloud) infrastructures. The engineer performs incident management, proactive operations, implements basic requests/changes and documents team procedures. Primary responsibilities for this role include: Investigation and management of global and hosting Windows and Linux OS related incidents. Proactive management of Windows and Linux OS infrastructure to help reduce reactive incidents. Fulfill Windows/Linux related request and change tickets. Produce and maintain current documentation for areas of responsibility. Experience: 3-4 Years Required Qualifications Bachelors degree in Computer Information Systems, Computer Science, or related quantitative field or related experience. 3+ years of experience in a heterogeneous, dynamic, customer-focused environment. Extensive experience on Incident management. Experience with Public Cloud with a focus on Azure/AWS/GCP. Experience with Redhat Linux and Windows operating systems, 1 year of experience with your primary OS. Support experience with virtualization technologies (preference of VMWare). Experience with infrastructure architecture including Servers, Network, SAN/Storage and Backup Services to allow for efficient implementation and non-disruptive expansion and upgrades. Experience in scripting languages (Bash, Python, PowerShell, Perl, etc). Preferred Qualifications Collaborative team experience with superior problem-solving skills. Experience with LDAP or Microsoft Active Directory integration within UNIX/Linux. Understanding best practices around information security and data privacy in relation to system access and availability. Support experience with host-side SAN storage integration and utilization. Experience with Public Cloud with a focus on Azure/AWS/GCP. Understanding best practices around information security in relation to confidentiality, integrity, and availability. Familiarity with ISO 27000-series standards. Consulting or work experience with regulated industries, such as, government, health care, and financial institutions.

Lauritz Knudsen Electrical and Automation (A unit of Schneider Electric India Pvt. Ltd.) is a pioneering electrical and automation brand with a rich legacy of over 70 years in India. We offer a comprehensive portfolio of low-voltage switchgear, medium-voltage switchgear, automation solutions, software, and services catering to diverse segments, including homes, agriculture, buildings, infrastructure, and industry. L&T Switchgear is now Lauritz Knudsen Electrical & Automation. Key Responsibilities/Deliverables: Techno-Commercial offer preparation for MV-LV Switchboard along with costing in SAP based costing tool (configurator). Attend customer meetings, technical discussion with internal stakeholders and arrange technical closure. 100% Compliance to the process and timely handing over of tender documentation handover to Execution team. Support sales with order booking by optimizing the cost. Enquiry updation, Enquiry tracking and OI report preparation. Functional Competencies: 1. Knowledge of LV & MV switchboards, GIS and Numerical relays 2. Understanding of SAS, DCP, Arc Flash & other Digital Solutions 3. Acquaint with various costing tools including SAP tool. B.E/ B.Tech (Electrical) Experience: 3-10 years

Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit www.amdocs.com In one sentence Understand the business needs of the customer and assess the impact of those needs in order to communicate and implement the recommended efficient solutions. What will your job look like Analyst, Recommendation & Analytics: Primary Skills Maintain and enhance SAS RTDM (Real-Time Decision Manager) workflows for decisioning logic and customer treatment strategies. Secondary - Develop and design and execute marketing campaigns using SQL, and SAS CI360, SAS Direct. Maintain and enhance existing SAS Direct campaign configurations and ensure timely campaign execution. Technologies -SAS Direct, SAS CI 360, BI Tools" All you need is... Degree in Computer Science or Industrial Engineering & Management - Information System. Customer-facing experience - ability to communicate the Amdocs solution using various methods (presentations, demos, and so on). Wide knowledge of relevant products and E2E Business process. Knowledge of the telecom industry and Amdocs business processes (ETOM, ASOM). Experience in managing a team in cross-Amdocs domain solutions. Why you will love this job: Use your outstanding business analysis skills to make a significant impact on leading solutions that produce the most efficient product solutions. Be a key member of a global, dynamic and highly collaborative team with various possibilities for personal and professional development! You will have the opportunity to work in multinational environment for the global market leader in its field. We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

In this role, you will: Consult with business line and enterprise functions on less complex research Use functional knowledge to assist in non-model quantitative tools that support strategic decision making Perform analysis of findings and trends using statistical analysis and document process Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff Understand compliance and risk management requirements for supported area Ensure adherence to data management or data governance regulations and policies Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals Collaborate and consult with more experienced consultants and with partners in technology and other business groups Required Qualifications: 2+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Experience in Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Excellent verbal, written, and interpersonal communication skills. Strong knowledge of Enterprise Risk programs and applicability of risk management framework (3 Line of defense) Experience identifying internal and external data sources from multiple sources across the business Experience with SQL, Teradata, or SAS and Database Management systems like Teradata and MS SQL Server. Experience in risk (includes compliance, financial crimes, operational, audit, legal, credit risk, market risk). Experience in data visualization and business intelligence tools. Advanced Microsoft Office (Word, Excel, Outlook and PowerPoint) skills Demonstrated strong analytical skills with high attention to detail and accuracy. Strong presentation skills and ability to translate and present data in a manner that educates, enhances understanding, and influence decisions, bias for simplicity Strong writing skills - proven ability to translate data sets and conclusions drawn from analysis into business/executive format and language Ability to support multiple projects with tight timelines Meta Data management, Data Lineage, Data Element Mapping, Data Documentation experience. Experience researching and resolving data problems and working with technology teams on remediation of data issues Hands-on proficiency with Python, Power BI (Power Query, DAX, Power apps), Tableau, or SAS Knowledge of Defect management tools like HP ALM. Knowledge of Data Governance. Job Expectations: Ensure adherence to data management or data governance regulations and policies Extract and analyze data from multiple technology systems/platforms and related data sources to identify factors that pose a risk to the firm. Consult with business line and enterprise functions on less complex research Understand compliance and risk management requirements for sanctions compliance and data management Perform analysis of findings and trends using statistical analysis and document process Require a solid background in reporting, understanding and utilizing Relational Databases and Data Warehouses, and be effective in querying and reporting large and complex data sets. Excel at telling stories with data, presenting information in visually compelling ways that appeal to executive audiences, and will be well versed in the development and delivery of reporting solutions. Responsible for building easy to use visualization and perform data analysis to generate meaningful business insights using complex datasets for global stakeholders. Responsible for testing key reports and produce process documentation. Present recommendations to maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff

In this role, you will: Work as an advisor to more experienced leadership to influence technology matters to develop programs that are effective and efficient for highly complex business and technical needs across one or more lines of business Lead the strategy and resolution of highly complex and unique challenges requiring in depth evaluation across multiple lines of business or the enterprise Deliver solutions that are long term, large scale, and which require understanding of organizational goals or priorities and technology to develop executable strategies and plans Provide vision, direction, and expertise to more experienced leadership on implementing innovative and significant business solutions related to technology matters that are large scale, cross functional, or companywide Engage with the technology team and more experienced leaders to provide support and drive strategic initiatives for the business and for execution of operational processes Required Qualifications: 7+ years of Information Technology in support of Business Services experience, or equivalent demonstrated through one or a combination of the following work experience, training, military experience, education Desired Qualifications: Demonstrated ability to collaborate and consult with key business partners and translate the business of technology to help support the program Excellent communication and influencing skills to support driving the growth and future development of the program Experience driving strategy forward collaborate across diverse set of stakeholders Hands-on experience Ability to prepare and present senior level communications Strong analytical skills with high attention to detail and accuracy Ability to influence and collaborate at all internal organizational levels Organizational skills to manage the different components of the program specific to Technology Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment Job Expectations: Report to the leader for Resource Strategy and partner closely with the Enterprise University Program team, Senior Technology Leaders and participants of the program. Collaborate in the planning, design, implementation and enhancement of campus hiring process. Exhibit acumen to gather, interpret, and use complex data to develop actionable steps that will improve processes and optimize results Improve, execute, and effectively communicate significant analyses that identify meaningful trends and opportunities across the business Participate in regular meetings with management, assessing and addressing issues to identify and implement improvements toward efficient operations Provide strong and timely financial and business analytic decision support to business partners and various organizational stakeholders Develop actionable roadmaps for improving workflows and processes, and establish and organize KPIs The ability to present findings in a polished way Proficiency with statistics and dataset analytics (using SPSS, SAS, Excel) Entrepreneurial mindset, with an innovative approach to business planning and problem solving

Data/Information Mgt Anlst– C10 Job Scope: 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. 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 employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Position: Cloud Technical Lead Location - Mumbai Role Description What We Do At SAS were the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo, and changing the way we live. The SAS Cloud team delivers Hosted and Remote SAS Solutions across a global footprint of cloud providers in strategic global locations. This is a global team that is tightly matrixed with other regional service delivery Centres of Excellence and global resource hubs. The team is accountable for ensuring excellent customer experience for all SAS Cloud customers. Be part of something exciting and join SAS working within our CIS business unit. What You’ll Do As a Cloud Technical Lead in SAS’s Cloud and Information Services (CIS) division, you will be responsible for all aspects of our hosted and remote managed SAS application environments, that that includes: Responsibility of all aspects of our hosted and remote managed SAS application environments. Work collaboratively with customers, analysts, developers, and implementation team members to deliver world class SAS service. Leverage your deep technical skillset and knowledge to provide technical leadership, guidance, and support for customer engagements through implementation and configuration to release production into operations. Partner with SAS Cloud Services Delivery and Project Managers to work through any technical obstacles the customer may experience. You will build the foundation for ongoing reliability by defining key performance metrics aligned to the customer's success criteria. Through documentation, automation, and knowledge management, you will respond quickly and efficiently to operational incidents or any issues reported. You will work with global R&D, Product, Technical Support, and CIS teams to ensure customer satisfaction and ensure service quality across all our hosted and remote managed customer environments. You will collaborate with the teams in technical effort estimation phase of the project delivery, and contribute to improve quality, efficiency and automation around service delivery tasks. A keen eye for continuous improvement and a passion to drive it in all aspects of the job is required. Key Responsibilities To take responsibility for: Articulate an innovative SAS technical approach / solution based on your understanding of client’s business and technical needs. Act as the technical subject matter expert and key point of contact for clients throughout the project lifecycle. Lead technical delivery from project kickoff through UAT and go-live for hosted and remotely managed services Provide post go-live consultation for major lifecycle events such as upgrades, renewals, migrations, and help identify and resolve complex problems caused by repetitive incidents. Ensure that all current and future technical project requirements (tasks, changes, deliverables, etc.) have a clearly defined scope and can be progressed by the responsible service team without issue. Mitigate any technical blocking condition that prohibits progress to drive towards success. Enhance operational requirements to improve system stability, monitoring awareness and decrease operational burden to ensure a positive customer experience. Enhance operational systems for improved stability, monitoring, and customer experience. Conduct knowledge transfer and mentorship for team members on customer engagements and key technologies. Deliver excellent Client service using a client first and continuous improvement mindset. Manage, monitor, and maintain container-based applications deployed in cloud container services. Work directly with external customers and interface with other support teams and vendors. Reporting To Manager of SAS Cloud Operations Expected Experience and Background This role is based in Mumbai and the candidate is required to have experience in customer-facing technical roles and. Strong proficiency in Microsoft Azure preferred; experience with AWS or Google Cloud Platform is advantageous. Proven years of experience as a technical advisor/in technical operations, with technical skills but not limited to developing solutions/working with technologies such as Hybrid/ multi-cloud, DevOps processes and tools, SAS applications, Hyperscaler, AI, Linux Operating systems, Databases. Familiarity with IT Service Management practices including change, incident, and problem management. ITIL certification is preferred. Excellent verbal and written communication skills to engage effectively with customers and internal teams. Strong interpersonal abilities, including the capacity to convey complex technical concepts to diverse audiences. Extensive experience driving software solutions involving many stakeholders and delivering results on time of high quality. Ability to provide feedback to product and service teams based on customer issues and advocate for enhancements. A proactive, entrepreneurial mindset with a focus on finding solutions and driving outcomes. Travel SAS Offers a hybrid approach to working. Travel is expected to client meetings and SAS offices when needed. 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 SASCLOUD Show more Show less