Analytics Engineer

• Lead Test Engineers is responsible for developing test strategy, plan, assessing the quality of specifications and technical design documents in order to ensure timely, relevant and meaningful feedback.
• They are involved in planning and implementing strategies, leading a team, managing defect uncovered, reporting on progress and obtaining sign-off for quality management and testing.

QA ETL Test Engineer

Auditor

• Follow every aspect of SOP without fail
• Complete received Audits with Quality
• To achieve Quality and production target
• Follow project related protocols and instructions
• Escalate issues, identify trends...
• Update all the logs like productivity, Clarification log, and any other logs applicable on a daily basis.
• Check with Manager /TL in case of clarifications
• All emails from Manager should be answered promptly without fail
• Problem solving skill sets
• Ensure compliance of entire team for HIPAA,OIG

Senior Executive – Coding Auditor

Actuary

• Complete understanding of the current state of affairs and problem statement
• Interacting with clients on regular basis, understanding their requirements and transforming that into business framework and providing actuarial solutions
• Work on transformation/automation initiative.
• Build actuarial models for life insurance products.
• Perform UAT testing, Unit testing, regression testing etc. for Actuarial model testing & validation.
• Excellent written and verbal communication skills

Actuarial, B2

Product Manager

• Drive overall performance and manage FNOL team and process deliverables
• Responsible for supervisory support through transaction monitoring and delivering results as per Service Level Agreement targets / timelines

Manager – Product Development, Technology/Digital Product Owner

Human Resources

• Provide administrative support to business operations, including document preparation and scheduling meetings.
• Handle all aspects of travel arrangements for staff, including booking flights, accommodations, and creating itineraries to ensure efficient and cost-effective travel plans.
• Process and submit expense reports and invoices, ensuring accuracy, compliance with comp policies, and timely reimbursement for employees.
• Facilitate internal communication by distributing relevant updates and information to the team members.
• Provide first-line support for queries and directing the team members to the appropriate department or individual for resolution

Assistant Manager, HR

Account Manager

• Responsible for leading strategic initiatives for major accounts
• Concentrate on substantial growth and sophisticated relationship management within the digital, data, and AI sectors
• Develop and implement advanced sales strategies tailored to meet complex client needs and objectives
• Manage high-value accounts with multiple buying locations, including international
• Cultivate high-level client relationships, address complex challenges, and identify significant growth opportunities across accounts

Vice President – Account Management

Solutions Engineer

• Lead end-to-end architecture design for Databricks-based Financial Crime and Banking platforms.
• Define enterprise data architectures leveraging Lakehouse, Delta Lake and Unity Catalog.
• Conduct discovery workshops with business, compliance, and technology stakeholders.
• Translate regulatory and operational requirements into scalable technical solutions.
• Develop target-state architectures, migration roadmaps, and implementation strategies.
• Architect solutions supporting AML Transaction Monitoring, Customer Risk Assessment (CRA), KYC and Customer Due Diligence, and Ongoing Due Diligence (ODD).
• Design Customer 360 and Financial Crime Lakehouse solutions.
• Enable real-time monitoring and risk analytics using streaming architectures.
• Ensure scalability, platform resilience, and cost optimization.

Databricks Solution Architect – Financial Crime, Banking

Support Engineer

• Lead the implementation of the Anti-Money Laundering Authority (AMLA) regulatory framework across the bank's Financial Crime and Compliance landscape.
• Act as a bridge between Compliance, Financial Crime Operations, Risk, Data, and Technology teams to translate AMLA requirements into business processes, data models, controls, and technology solutions.
• Drive regulatory transformation initiatives, support target operating model design, and ensure successful implementation of AMLA-aligned controls, policies, processes, and technology platforms.
• Conduct current-state assessments and gap analyses against AMLA requirements.
• Define implementation roadmaps, priorities, and regulatory remediation plans.
• Support policy, procedure, and control enhancements aligned with AMLA.

Financial Crime Technical Business Analyst – AMLA Implementation

Executive

• They manage office systems, coordinate schedules, provide administrative support, supervise staff, prepare reports, implement policies, and maintain effective communication within the organization

Senior Executive

Data Analyst

• Ability to convert business problem to an analytical problem and then finding pertinent solutions
• Overall business understanding of BFSI domain
• Providing high-quality analysis and recommendations to business problems.
• Efficient project management and delivery
• Ability to conceptualize data driven solutions for the business problem at hand for multiple businesses/region to facilitate efficient decision making
• Focus on driving efficiency gains and enhancement of processes.
• Use of data to improve customer outcomes through the provision of insight and challenge
• Understand the business requirements from the product/project stakeholders and break the requirements into simpler stories and tasks and do the necessary mapping of the tasks to the logical model of the solutions.
• Mapping of business entities to technical attributes with the logic for transformation defined clearly.
• Be accountable for the delivery of the tasks in the defined timelines with good quality.
• Working with the team leads closely and contribute to the smooth delivery of the project.
• Understand/define the architecture and discuss the pros-cons of the same with the team.
• Involve in the brainstorming sessions and suggest improvements in the architecture/design.
• Working with other teams leads to getting the architecture/design reviewed.
• Keep all the stakeholders updated about the project, task status, risks, and issues if any.

Senior Data Analyst

• 4-6 years of professional experience as a Data Analyst with good decision-making, analytical and problem-solving skills.
• SQL, Pyspark, Python with Banking Domain knowledge - Credit & Lending.
• Working knowledge / experience of Big Data frameworks like Hadoop, Hive and Spark.
• Hands-on experience in query languages like HQL or SQL (Spark SQL) for Data exploration.
• Data mapping: Determine the data mapping required to join multiple data sets together across multiple sources.
• Documentation - Data Mapping, Subsystem Design, Technical Design, Business Requirements.
• Exposure to Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc.
• Data Asset design / build: Working with the data model / asset generation team to identify critical data elements and determine the mapping for reusable data assets.
• Understanding of ER Diagram and Data Modelling concepts
• Exposure to Data quality validation
• Exposure to Data Management, Data Cleaning and Data Preparation
• Exposure to Data Schema analysis.
• Exposure to working in Agile framework.
• Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous

Backend Engineer

• Design, build, and unit test Java-based applications for data processing
• Develop backend services using Spring Boot and REST APIs
• Build data pipelines integrating data from:
• Relational databases (Oracle)
• Implement event-driven data pipelines using Kafka (or MSK)
• Develop and expose APIs for data access and integration
• Work with structured and semi-structured data formats (JSON, XML, etc.)
• Optimize application performance for high-volume data processing
• Deploy applications using Docker containers
• Participate in code deployment and release processes
• Monitor and troubleshoot applications
• Create documentation for usage, deployment, and support
• Participate in agile development (scrum) and collaborate with cross-functional teams

Senior Java Developer

QA Automation Engineer

• Your primary mandate is to accelerate delivery of business-unit solutions by building AI systems that generate, validate, and ship infrastructure-as-code – Terraform in particular – so environments are stood up faster and more consistently.
• You will architect agentic applications and workflows on AWS, apply intelligent automation across the platform and cloud operations, and pioneer emerging agentic techniques.
• As a technical leader, you will set direction, establish standards and guardrails, and mentor engineers while remaining hands-on with design and implementation.

Lead AI Engineer – Cloud Infrastructure, Automation

• Drive the end-to-end architecture and technical vision for generative AI within the function – reference architectures, patterns, and standards that teams build against.
• Make authoritative technology decisions, selecting the right models, frameworks, and agent harnesses for each use case, balancing capability, latency, cost, and risk.
• Move solutions from proof-of-concept to production with realistic, production-grade designs – covering orchestration, retrieval (RAG), evaluation, observability, guardrails, and human-in-the-loop.
• Integrate GenAI into the existing cloud solutions and automation platform (AWS, CI/CD toolchain, ITSM) so GenAI is a first-class, governed capability.
• Design for scale and operational excellence for GenAI workloads – throughput, latency, reliability, and cost optimization (token economics, caching, model routing).
• Establish the operational foundation including evaluation pipelines, monitoring, drift/quality management, and incident response for Agentic solutions.
• Bake in guardrails such as security, data privacy, responsible-AI, hallucination mitigation, and regulatory compliance into every architecture.
• Advise and influence to CXO-level leaders, translating complex AI concepts into clear business value, trade-offs, risks, and roadmaps.
• Shape the generative-AI strategy and roadmap for the enterprise, aligning technology investment with business outcomes and priorities.
• Build and present business cases, ROI, and build-vs-buy analyses for AI initiatives.
• Serve as an evangelist and trusted expert – to executives, engineering teams, and external partners – and champion an enterprise AI vision.
• Mentor and upskill engineering teams and set architecture governance, review gates, and reusable building blocks.
• Define and steward AI governance, standards, and best practices in partnership with security, data, and legal.

AI Architect – Generative AI, Enterprise Solutions

Client Partner

• Lead account growth and client engagement efforts across strategic Automotive and Manufacturing accounts.
• Build and strengthen relationships with senior stakeholders across Manufacturing, Supply Chain, Procurement, Operations, Quality, Engineering, IT, Digital, Data, and Analytics functions.
• Identify whitespace opportunities within existing accounts and adjacent buying centers.
• Serve as a trusted advisor to client stakeholders by connecting business priorities with EXL's Analytics, AI, Data, Digital Transformation, and Operational Excellence capabilities.
• Collaborate with delivery leaders, solution teams, and account leadership to shape account plans, solution narratives, proposals, and pursuit strategies.
• Support executive workshops, value discovery sessions, account reviews, and transformation discussions.
• Partner with delivery teams to ensure account expansion efforts are grounded in client outcomes, delivery credibility, and long-term relationship health.
• Develop industry-specific viewpoints and practical solution themes relevant to Automotive and Manufacturing clients.
• Represent EXL in client meetings, industry forums, executive roundtables, and account-specific growth discussions.
• Contribute to revenue expansion, pipeline development, client satisfaction, and long-term strategic account growth.