Solutions Engineer

• Build and maintain strong relationships with key banking and capital markets clients.
• Act as the primary contact for strategic discussions, understanding client needs and identifying opportunities for value creation through consultative engagement.
• This position requires a blend of technical expertise, client relationship management, and business acumen to achieve ambitious growth targets in a fast-paced financial landscape.
• Lead development of tailored technical proposals in collaboration with cross-functional teams.
• Design innovative solutions in areas like data modernization, digital transformation, and fintech integration, ensuring proposals are practical, competitive, and aligned with best practices.
• Monitor account performance and drive growth through upsell and cross-sell opportunities.
• Achieve revenue targets by expanding service offerings and leveraging emerging technologies such as AI, cloud, and data platforms.
• Coordinate across advisory, technology, and operations teams to ensure seamless delivery. Promote collaboration, resolve interdependencies, and foster knowledge sharing for efficiency and innovation.
• Stay current on industry trends, regulatory changes, and competitive dynamics. Contribute to thought leadership through client presentations, webinars, and whitepapers.
• Responsible for enabling communication between clients, other EXL business units, internal support staff, as well as multi-functional and multi-shore project teams.
• Team Development, mentor and guide junior team members, fostering a high-performance culture and building capabilities in client management and solution design.

Data Tech Lead, Solution Architect – Senior Assistant VP

Data Analyst

• Act as liaison between the technical and business teams.
• Should be able to connect with Client SME & understand Functionality, Data
• Should be able to do Data Profiling - Understand the quality of Data and critical Data elements- How to standardize Reference, and master data across systems
• Work Data mapping, Data lineage docs, data models, and design docs that allow stakeholders to understand data mappings & transformations

Business Data Analyst

QA Engineer

• Develop, maintain, and execute automated test scripts using Selenium, Test Complete.
• Perform Automated API testing to ensure the reliability of web Applications.
• Integrate automation tools with test management tools.
• Knowledge of Automation tools like Cypress, Test Robot Automation, ReadyAPI, Mendix.
• Experience with database testing preferably SQL.
• Knowledge of data migration testing.
• Understanding of ETL processes and testing.
• Preferred domain experience in Insurance & healthcare.
• Certification in software testing (e.g., ISTQB).

QA Analyst

Software Engineer

• Support the design, development, testing, deployment, and maintenance of secure and scalable applications using .NET, C#, SQL, JavaScript, and related technologies.
• Collaborate with senior developers, architects, and business teams.
• Participate in Agile ceremonies.
• Assist in UI/UX and functional testing.
• Contribute to data integration and cloud migration initiatives.
• Actively learn, take ownership of assigned tasks, support documentation, and engage in knowledge‑sharing and mentoring activities.

Junior Programmer Analyst

• Manage individual project priorities, deadlines and deliverables.
• Develop, maintain, and execute automated test scripts using Selenium preferably.
• Set up automation frameworks from scratch and Integrate automation code/tools to CI/CD pipeline.
• Perform API testing to ensure the reliability and performance of web services.
• Facilitate Agile ceremonies (daily stand-ups, sprint planning, retrospectives, reviews).
• Communicate effectively with clients to gather requirements, provide updates, and address concerns.
• Provide technical training to upskill the existing testing team.

Executive

• Senior associate with 3+ years of experience in Accounts payables.
• Candidates having Scanning, Invoice processing and Help desk experience can also be scheduled for the interview.
• Must hold accountability for the process and respond to the queries from Client/Field.
• Must have knowledge of Microsoft Office (Excel knowledge is must).
• Problem solving/Analytical skills and preferably any enhancements done in their current project.
• Good accounting knowledge and SAP experience is preferred.

Senior Executive – Independent Contractor

Manager

• Oversee daily operations to ensure performance metrics are achieved, revenue is maximized, and KPIs are met
• Communicate productivity expectations clearly, balance workloads through team meetings, and monitor efficiency while implementing corrective measures
• Conduct transaction monitoring regularly, taking corrective steps or driving incremental improvements as needed
• Ensure effective use of information systems, guiding the team on system capabilities and functionality

Assistant Manager

Project Manager

• Assist in project planning and execution
• Support project tracking and reporting
• Document project processes and milestones
• Perform basic project coordination tasks
• Collaborate with senior project managers.

Associate Project Manager

Product Marketing

• Develop and maintain ETL pipelines using PySpark and AWS Glue to process and transform large volumes of data efficiently.
• Collaborate with analysts to understand data requirements and ensure data availability and quality.
• Write and optimize SQL queries for data extraction, transformation, and loading.
• Utilize Git for version control, ensuring proper documentation and tracking of code changes.
• Design, implement, and manage scalable data lakes on AWS, including S3, or other relevant services for efficient data storage and retrieval.
• Develop and optimize high-performance, scalable databases using Amazon DynamoDB.
• Proficiency in Amazon QuickSight for creating interactive dashboards and data visualizations.
• Automate workflows using AWS Cloud services like event bridge, step functions.
• Monitor and optimize data processing workflows for performance and scalability.
• Troubleshoot data-related issues and provide timely resolution.
• Stay up-to-date with industry best practices and emerging technologies in data engineering.

LAM-MTS, AWS, PySpark

Consultant

• Develop and execute data analytics frameworks to evaluate business and operational performance across client engagements.
• Perform end-to-end data analysis, including exploratory data analysis (EDA), hypothesis testing, A/B testing, and performance evaluation.
• Create interactive dashboards and reports using Tableau or Power BI to enable self-service analytics for stakeholders.
• Translate analytical outputs into clear, actionable insights and recommendations for business and operational improvement.
• Collaborate with clients, stakeholders, and internal teams to understand data requirements and deliver analytics solutions aligned with business objectives.
• Ensure data quality, integrity, and consistency across all analytical outputs and reporting deliverables.

Senior Consultant – Analytics

• Design and develop Java applications with a focus on string and stack manipulation for optimal performance and efficiency.
• Implement robust and scalable algorithms and data structures, ensuring our systems can handle increasing workloads.
• Collaborate with cross-functional teams to understand project requirements and deliver tailored, innovative solutions.
• Conduct thorough code reviews, providing constructive feedback to maintain high standards of code quality and maintainability.
• Troubleshoot and resolve complex issues, ensuring our applications are reliable, stable, and meet user expectations.
• Stay updated with the latest Java technologies and industry trends, incorporating them into our development practices to stay ahead of the curve.
• Mentor and guide junior developers, fostering a culture of continuous learning, improvement, and knowledge sharing.
• Ensure proper documentation and testing practices are followed, making our codebase accessible and maintainable for future development.
• Participate in project planning, providing accurate estimates for development tasks, and contributing to the overall project timeline and success.
• Actively contribute to the software development lifecycle, from initial design to final deployment, ensuring a seamless and efficient process.

Accounts Receivable

• Prior experience in all Accounts Receivable functions, including Billing, Cash Application, Exception handling, Reporting activities
• Prepare Client Fees / invoices
• Process cash application, unallocated cash
• Dispute resolution by raising queries to sites / customers
• Journal Uploads
• Contact with customers, Engagement Managers/Leads via email, Calls etc
• Tracking client invoices, managing, and maintaining client payments
• Month end close activities
• Aging report preparation, maintenance, and periodic reporting

Senior Associate – Accounts Receivable

• Possess knowledge in testing & claim processing including Cotiviti rules & triggers (FRE, UNB, MUE, non-covered, bundled scenarios) and knowledge in different products, member accounts and contracts.
• Execute and manage end-to-end testing cycle for Cotiviti in HRP.
• Analyze and test to maintain HealthRules Payor, supporting changes in Quarterly CMS dictionary Updates and procedures.
• Create comprehensive test plans and test cases based on project requirements and specifications.
• Perform testing based on Cotiviti & CXT rule changes and implementation.
• Work with the HealthRules Payor (HRP) application, Cotiviti Tool.
• Perform full, unit, and regression testing.

Senior Executive

• Manage end-to-end Accounts Payable (AP) processes, including invoice processing, vendor payments, employee reimbursements, and expense reporting.
• Review and process vendor invoices for accuracy, completeness, and compliance with company policies and contractual terms.
• Perform three-way matching (PO, GRN, and Invoice) and resolve invoice discrepancies with vendors and internal stakeholders.
• Prepare payment proposals and ensure timely execution of vendor payments through various payment methods.
• Reconcile vendor statements, investigate outstanding balances, and resolve payment-related queries.

AP Executive

Data Engineer

• Work with senior data engineers and architects to build, optimize, and maintain scalable data pipelines and workflows.
• Develop ETL/ELT processes using Databricks, Spark, Python, and SQL.
• Design and implement data ingestion frameworks for structured and unstructured data sources.
• Build and maintain data models, data marts, and analytical datasets in Snowflake.
• Monitor, troubleshoot, and improve data pipeline performance, reliability, and scalability.
• Collaborate with business stakeholders, analysts, and data scientists to understand data requirements and deliver solutions.
• Participate in architecture discussions, proof-of-concepts, and process improvement initiatives.
• Document data flows, technical designs, and implementation details to support operational excellence and knowledge sharing.
• Ensure adherence to data quality, security, and governance standards across data platforms.