Director

• Lead end‑to‑end regulatory reporting and risk transformation engagements for global banking and financial services clients.
• Advise clients on regulatory expectations, supervisory priorities, and industry best practices across multiple jurisdictions.
• Design, implement, and enhance regulatory reporting frameworks, controls, governance models, and operating models.
• Drive initiatives across ERM, ORM, and Operational Resilience, including: Risk taxonomy, RCSA, KRI, and loss event frameworks, Scenario analysis and stress testing, Business continuity management (BCM), disaster recovery (DR), and resilience testing, Impact tolerance, important business services, and mapping (people, processes, technology, third parties).
• Support regulatory exams, issue remediation, and interaction with regulators.
• Act as a trusted advisor to C‑suite and senior risk, finance, and compliance leaders.
• Lead, mentor, and develop consulting teams across geographies.
• Contribute to practice growth through solution development, thought leadership, and innovation.
• Partner with sales and leadership teams to support proposals, client pitches, and account expansion.
• Build and maintain strong relationships with key client stakeholders and internal partners.
• Ensure high standards of delivery quality, independence, and risk management consistent with professional services firm requirements.
• Oversee engagement economics, resource planning, and delivery timelines.

Associate Director – Client Delivery

Accounting Manager

• Responsible for processing routine premium payments applied to new policies or renewals.
• Following all applicable compliance procedures for processing such payments, including federal anti-money laundering.
• Accountable for Reconciliation, research and resolution of outstanding items.

Payment Processor – Premium Accounting Associate

Paralegal

• Support EXL’s Record Retrieval operations by developing, overseeing, and managing state‑specific subpoena and authorization protocols.
• Ensure proper handling of subpoenas, attorney‑issued requests, HIPAA‑compliant authorizations, certifications, and legal correspondence.
• Work closely with Operations and clients to ensure compliance, standardization, and enforcement of all SOPs across jurisdictions.
• Manage subpoena and authorization driven orders, prepare legal documentation, and partner with clients to ensure timely and compliant record production.

Claims Specialist

• Documenting calls
• Completing follow-up work
• Identifying potential risks such as fraud
• Analyzing incoming documents to determine claim eligibility
• Calculating benefit amounts
• Approving payments
• Resolving claims adjudication issues
• Managing calls with various stakeholders
• Ensuring accurate tax reporting
• Maintaining detailed claim files
• Processing death claims for life or annuity contracts
• Meeting performance targets
• Maintaining claim inventories within guidelines
• Working harmoniously within a team
• Handling multiple computer systems
• Performing mathematical calculations

L&A Claims Examiner

Controller

• Should have sound knowledge in terms of IndAS/IFRS and other Indian taxation and compliances.
• Should be well versed with preparation and review of financials statement as per IndAS/IFRS.
• Candidate should have detail-oriented approach and hands on experience in R2R, Accruals, MIS reporting
• Ledger and Sub Ledger Reconciliations (Employee Advance and payable liability).
• Preparation and validation of accruals received from different stakeholders
• Identifying P&L variance and clarification from respective business
• Qualitative variance analysis for P&L and BS movements.
• Co-ordination with other stakeholder and Team for stabilization of migrated processes.
• Performing of quality BS reconciliation and timely action on open items.
• Liaise with internal and external auditors for audits (SOX, Tax, Process Audit).
• Ensuring compliance to SOX/internal control/Statutory guidelines.
• Eye on Process improvement and automation, brining best practices.

Lead Assistant Manager – Controllership

Business Analyst

• Collects business and technical requirements via interviews, document analysis, workshops, surveys, site visits, process descriptions, use cases, scenarios, and workflow analysis.
• Documents business and technical specs, ensuring updates remain relevant.
• Defines sources for data warehouse attributes and maps them, including necessary transformation algorithms.
• Generates documentation for business processes (As Is – To Be), functional and technical specs, and use cases.
• Identifies opportunities to streamline or improve existing data management processes.
• Performs gap analysis of policies, processes, and capabilities against frameworks or target states.
• Assists with roadmap creation, incorporating prioritization, dependency analysis, and resourcing.
• Develops data dictionaries, source-to-target mappings, and a business glossary.
• Creates business rules for data acquisition, integration, and quality monitoring.
• Gathers and documents reports, analyses, and data access requirements.
• Assesses and documents the structure, quality, and conformance of source data.
• Initiates analysis to identify and resolve data inconsistencies, improving data integrity.
• Identifies, analyzes, and interprets trends in data and recommends business and process improvements.
• Collaborates with team members, leadership, and clients on status, risks, issues, and decisions.
• Supports tech lead and developers with business and data inquiries.
• Collaborates with Project Managers and engages in project planning.
• Conducts feasibility analysis, scopes projects, and assists in prioritizing deliverables.
• Serves as the bridge between business units, technology, and support teams.
• Generates reports to aid stakeholders and project teams as needed.

Business Analyst – Banking

Backend Engineer

• Design, build, and maintain backend services and APIs using Python (FastAPI) • Develop and scale GenAI and agentic AI applications using frameworks such as LangChain / LangGraph, ADK, Agent Engine, CrewAI, MCP/A2A, and others • Work across cloud environments—primarily GCP (Cloud Run/GKE, Composer, Pub/Sub, BigQuery, AlloyDB/Cloud SQL)—or equivalent cloud platforms • Build data-driven features, pipelines, and integrations that power intelligent applications • Collaborate with cross-functional teams to translate product requirements into robust backend and data solutions • Explore and understand existing systems with minimal guidance, proposing improvements and driving initiatives independently • Contribute to architectural decisions, code quality, and engineering best practices.

Software Developer, Backend, GenAI

Technical Program Manager

• Drive end-to-end delivery of complex, cross-functional data and technology initiatives.
• Own program execution, risk management, compliance coordination, and stakeholder alignment across multiple teams.
• Establish and operate the governance operating model ensuring adherence to regulatory requirements and security standards.
• Maintain program-level risk registers and produce governance KPI dashboards for executive reporting.
• Serve as program-level coordination point for compliance and regulatory changes tracking.
• Partner with Data Stewards to enforce policies on data quality and governance.
• Facilitate cross-functional alignment and manage operational readiness including incident management and production reviews.

Senior Manager – Technical Program Manager

Software Engineer

• Design and implement responsive, user-friendly web interfaces while ensuring cross-browser compatibility and performance optimization.
• Work with modern frameworks, such as React.js, to integrate APIs, manage state, and enhance UI interactivity.
• Debug, test, and optimize applications for speed and responsiveness.
• Collaborate with designers, backend developers, and QA teams.
• Utilize expertise in UI/UX principles and mobile-first development to deliver seamless web experiences.
• Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.

Lead Assistant Manager – IT Developer

Sales

• Cultivating the company’s presence in the market.
• Growing business development opportunities with new clients with whom the company has not had previous significant contact.
• Closing deals with ACV > $2M and TCV > $10M selling BPO services to the CFO suite of large corporations.
• New Logo hunting and managing the sales cycle from deal origination to closure and successful handover to the Account Manager.
• Working closely with Industry Business Unit leads to target account strategies, logos, and delivery of new logos.
• Building a predictable pipeline of new business to generate repeatable and profitable revenues.

New Business Sales Lead

Client Services Representative

• Handle client, inspector, and manager inquiries via phone and email, logging all details in the EXL Survey database.
• Act as the first point of contact for clients, providing updates, estimated completion dates, and next steps.
• Forward and track revision requests, ensuring timely completion and communication back to clients.
• Communicate effectively with internal teams to ensure everyone has the latest project information.
• Monitor phone calls and emails, responding promptly and professionally.
• Perform other related duties as assigned.

Loss Control Client Services Specialist

SDET

• Design and develop automation scripts using java and selenium
• Identify and document software bugs.
• Perform regression testing.
• Review technical documents and provide feedback.
• Implement and maintain test frameworks.
• Troubleshoot automation framework related issues.
• Maintain test documentation.
• Collaborate with development teams.

Test Automation Engineer

Data Scientist

• Manage overall team performance
• Develop AI solution based on deep learning/ Neural network/ NLP/ computer vision to extract the content from the documents/video/ images
• Use Large Language Models (LLMs) – Both commercial and free to solve problems
• Prepare custom neural network architecture and train deep learning networks
• Integrate AI solutions with real-time applications and deploy them both on on-premise and cloud (AWS, Azure)
• Perform code integration and code review both on performance and stress testing

Assistant Manager – Data Science, Gen AI Engineer

Vice President

• Build and maintain strong relationships with key Life Sciences clients.
• Act as the primary contact for strategic discussions, understanding client needs and identifying opportunities for value creation through consultative engagement.
• Lead development of tailored technical proposals in collaboration with cross-functional teams.
• Design innovative solutions in areas like data modernization and digital transformation, 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.
• Mentor and guide junior team members, fostering a high-performance culture and building capabilities in client management and solution design.

AVP Data Management Lead – Life Sciences

• Planning and designing business processes
• Assist in formulating recommendations to improve and support business activities
• Work on system designs and business architecture
• Collaborate with development and system SMEs
• Support Development and Quality Assurance efforts as needed
• Lead the development of new client interfaces while simultaneously assisting with maintenance of existing interfaces
• Documenting business requirements and specifications
• Ensure that all details around product development are captured in documents and stored in a structured format
• Identify improvement opportunities in the product for improved customer experience