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.

Senior Client Partner, Manufacturing & Automotive

Analytics Engineer

Data Engineer, Business Analyst

Manager

• Develop, test, and maintain Python-based applications.
• Design and implement RESTful APIs and backend services.
• Write clean, efficient, reusable, and well-documented code.
• Integrate applications with databases and third-party services.
• Troubleshoot, debug, and optimize application performance.
• Collaborate with front-end developers, QA engineers, and product teams.
• Implement security, scalability, and performance best practices.
• Participate in code reviews and Agile development processes.
• Maintain version control using Git and contribute to CI/CD pipelines.

Assistant Manager

General Counsel

• Directly negotiate some of EXL’s largest and most complex sell-side technology outsourcing agreements, including master services agreements (MSAs), statements of work (SOWs), professional services agreements, and SaaS/technology licensing arrangements.
• Structure and negotiate sophisticated data use rights, data licensing, and data ownership provisions, including for derived data, model training data, and analytics outputs.
• Serve as primary embedded legal support to one or more business units, advising on contractual risk allocation, liability caps, indemnification, limitation of remedies, service levels, and IP ownership.
• Advise on data privacy and security requirements embedded in commercial agreements, including HIPAA, GDPR, CCPA, and other sector-specific regulatory obligations.
• Manage and mentor a team of commercial contracting attorneys, overseeing workload distribution, quality of negotiated terms, and professional development.
• Act as a primary escalation point during high-stakes or stalled negotiations, working directly with clients, outside counsel, and business leadership to break logjams and reach commercially sound resolutions.
• Set negotiation strategy and risk tolerance guidance for the broader contracting team, ensuring consistency across deals and business units.
• Develop and maintain playbooks, templates, and fallback positions for recurring contract types, including MSAs, SOWs, SaaS agreements, and data use provisions.
• Lead initiatives to advance EXL’s overall contracting standards, driving consistency, efficiency, and risk discipline across the global Legal function.
• Partner with Sales, Delivery, Finance, and Risk leadership to refine deal structuring processes and surface legal exposure earlier in the sales cycle.
• Contribute to Legal leadership team discussions on department priorities, resourcing, and strategic initiatives.

Vice President, Senior Technology Transactions Attorney, Associate General Counsel

Software Engineer

• Develop and support Axiom regulatory reporting solutions.
• Design, develop, and optimize SQL queries and database objects.
• Work on ETL processes for data extraction, transformation, and loading.
• Utilize Teradata for data analysis, reporting, and performance tuning.
• Develop scripts and automation solutions using Python.
• Collaborate with business, functional, and technical teams to gather and implement requirements.
• Perform data validation, reconciliation, and issue resolution.
• Support production releases, enhancements, and defect fixes.

Developer

Vice President

• Lead and manage the global procurement team, providing strategic direction and guidance.
• Develop and implement procurement strategies that align with EXL's business goals and objectives.
• Establish and maintain strong relationships with internal stakeholders and key suppliers to ensure effective collaboration.
• Negotiate and manage contracts with suppliers, ensuring favorable terms and conditions for EXL.
• Conduct market research and analysis to identify cost-saving opportunities and optimize procurement processes.
• Ensure compliance with procurement policies, procedures, and regulations, maintaining high standards of integrity and ethics.
• Develop and maintain a robust supplier database, evaluating and selecting suppliers based on performance and quality.
• Implement innovative technologies and tools to enhance procurement efficiency and effectiveness.
• Monitor and analyze procurement data to identify trends, risks, and areas for improvement.
• Provide regular updates and reports to senior leadership, communicating procurement strategies and outcomes.

• Review, reconcile, and apply customer payments to open invoices with a high degree of accuracy.
• Lead investigation and resolution of complex discrepancies related to billing rates, time entries, short payments, overpayments, and unapplied cash.
• Review and manage credit balances; ensure timely creation and application of credit memos.
• Partner cross-functionally with Billing, Accounts Receivable, Sales, and Operations to drive timely resolution of payment issues.
• Ensure adherence to internal controls, accounting policies, and SOX requirements.
• Maintain comprehensive documentation and support audit inquiries as needed.
• Identify trends, root causes, and opportunities for process improvements within the O2C function.
• Support system enhancements and mentoring junior team members as required.