Insurance

• This role involves recording, reconciling, and reporting premiums, claims, commissions, and recoveries related to reinsurance contracts.
• The role ensures accurate financial reporting, compliance with accounting standards, and proper settlement between insurers and reinsurers.

Lead Assistant Manager – Reinsurance

Data Analyst

• Work directly with the client and play a critical role in shaping how credit decisions, portfolio performance, and risk-adjusted revenue decisions are made
• Work on the full credit lifecycle from strategy and pricing to portfolio health and performance, ensuring the risk approach supports sustainable growth and strong financial outcomes
• Directly influence profitability, capital efficiency, and long-term scalability

Credit Risk & Analytics – Engagement Manager

Auditor

• Review inpatient medical records to verify that the DRG (Diagnosis-Related Group) code makes sense based on the documentation.
• Apply clinical and coding knowledge to spot inaccuracies and identify potential overpayments.
• Document your findings in clear, professional language that explains the rationale behind your review.
• Use industry tools like 3M or Webstrat to support your decisions.
• Work independently while meeting productivity and quality goals.
• Stay up to date with clinical guidelines, DRG rules, and industry trends.

Clinical Validation Auditor – Auditor III

Executive Assistant

• Platform Services
• Contract role
• Contract role

Senior Assistant Vice President

Engineer

• Analyze existing Cybermation job schedules, dependency patterns, runtime parameters, execution frequency, owners, success/failure behavior, and operational support expectations.
• Review existing shell scripts and API/cURL invocation logic to determine the appropriate Airflow DAG design, task structure, error handling, and retry configuration.
• Design, develop, and maintain Apache Airflow DAGs to orchestrate shell scripts, API calls, and dependent jobs with appropriate scheduling and operational controls.
• Configure Airflow schedules, task dependencies, retries, logging, alerting hooks, variables, connections, parameters, and environment-specific configuration as per client standards.
• Perform dry runs, unit testing, schedule validation, API response validation, failure/retry validation, and production-readiness checks for migrated jobs.
• Create migration mapping, validation evidence, deployment notes, operational runbooks, and support handover documentation.
• Coordinate with client SMEs, application owners, infrastructure teams, and release teams to support deployment, issue triage, initial run monitoring, and hypercare.

Apache Airflow Engineer

Client Partner

• Manage relationships across an assigned set of Retail industry accounts.
• Responsible for driving revenue growth and managing customer interactions related to service delivery.
• Collaborate with other leaders within EXL to provide solutions that align with client’s strategic priorities.
• Grow revenue within the assigned portfolio to $30M+ by developing new relationships across multiple buying centers.
• Ensure fulfillment of all commitments to the client.
• Create the account plan including relationships required, opportunities to be pursued, price decisions, etc.
• Assistance with new logo acquisition by leveraging existing relationships.

AVP, Consulting Client Partner – Retail, CPG Industry Focus

Business Intelligence Analyst

• Lead BI architecture and solution design conversations with clients
• Design, build, and optimise Power BI semantic models and Tableau data sources
• Write and optimise complex DAX measures, M/Power Query transformations, and SQL queries
• Diagnose and resolve data model issues
• Architect dimensional data models and semantic layers consumed across multiple BI tools
• Drive self-service BI capability and define BI deployment standards

Business Intelligence Lead

SDET

• Lead medium-sized data quality projects.
• Oversee data quality standards and documentation.
• Mentor and develop junior team members.
• Collaborate with other departments to align data quality practices.

Test Engineer

Recruitment

• Supporting recruiters with the end-to-end recruitment process
• Proactively sourcing candidates using LinkedIn Recruiter and other platforms
• Building and maintaining talent pools and LinkedIn projects
• Screening CVs and supporting candidate shortlisting
• Coordinating interviews and managing scheduling
• Supporting the preparation and release of employment offers
• Assisting with onboarding activities
• Supporting recruitment administration and maintaining accurate Excel spreadsheets
• Keeping candidate information up to date within ATS
• Using AI tools to improve sourcing and recruitment efficiency
• Delivering an outstanding experience for candidates and hiring managers

In-House Recruitment Consultant

QA Engineer

• Design and execute comprehensive test strategies covering backend APIs, database operations, and frontend-backend integration.
• Validate data migration from Supabase to Azure Database for PostgreSQL, ensuring data consistency, integrity, and performance.
• Test authentication and authorization flows implemented via Azure Active Directory B2C, including JWT handling, session management, and SSR behavior.
• Perform API testing (functional, integration, and regression) for services built using Node.js and Azure Functions or Next.js API routes.
• Validate replacement of Supabase features such as Row-Level Security (RLS) with application-layer authorization logic.
• Test file upload/download workflows and access control using Azure Blob Storage.
• Conduct performance and load testing for backend services and database queries.
• Validate real-time features implemented via Azure SignalR Service or similar technologies.
• Develop and maintain automated test suites (unit, integration, and end-to-end).
• Identify, document, and track bugs, and work closely with developers to ensure timely resolution.
• Ensure system reliability through regression testing during each phase of migration.
• Participate in CI/CD pipelines and integrate automated testing into deployment workflows.

QA Tester

• 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.
• Nice to Have:
• 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 Engineer – Manual, Automation

Data Engineer

• Design and maintain Fabric Lakehouse environments.
• Develop and optimize Delta Tables for high-performance analytics workloads.
• Implement Medallion Architecture (Bronze, Silver, Gold layers) to support data quality and governance requirements.
• Create curated datasets for reporting, analytics, and AI/ML use cases.
• Develop data transformation logic using PySpark, Spark SQL, and notebooks.
• Create reusable frameworks and data engineering best practices.
• Perform data cleansing, enrichment, and standardization activities.
• Design dimensional and analytical data models.
• Collaborate with Business Intelligence teams to support Power BI semantic models and reporting requirements.
• Ensure data consistency, quality, and accuracy across data platforms.

Data Engineer, Microsoft Fabric

Executive

• Prepare, examine, and analyze financial statements to ensure accuracy and compliance with regulations.
• Manage general ledger entries, reconciliations, and month-end/year-end closing processes.
• Oversee accounts payable and receivable, payroll, and expense management.
• Conduct variance analysis and provide recommendations to improve financial performance.
• Ensure compliance with tax laws, GST, TDS, and other statutory requirements.
• Collaborate with auditors during internal and external audits.
• Develop and implement accounting policies, procedures, and internal controls.
• Support budgeting, forecasting, and financial planning activities.
• Provide management with timely financial insights and reports for decision-making

Senior Executive

Data Scientist

• Own the complete NBA delivery lifecycle, including strategy, design, development, testing, deployment, measurement, and ongoing optimization.
• Translate business objectives into actionable inclusion/exclusion criteria, targeting logic, and decision strategies.
• Develop and maintain SQL/BigQuery-based data pipelines supporting campaign targeting, sizing, execution, and reporting.
• Build and enhance measurement frameworks to evaluate campaign effectiveness, business outcomes, and member engagement.
• Perform ad hoc analyses to identify optimization opportunities and support stakeholder decision-making.
• Configure and support NBA implementations within Pega, including launch readiness and process validation.
• Conduct campaign QA, operational monitoring, and issue resolution to ensure successful NBA execution.
• Partner with business, product, and technology teams to drive data-informed decisioning and recommendation strategies.
• Support experimentation and test-and-learn initiatives, including A/B testing and performance measurement.
• Leverage predictive models, AI/ML, and LLM-based inference capabilities where appropriate to improve decisioning effectiveness.

AI Engineer

• Architect and implement neuro-symbolic AI solutions that combine:
• Large Language Models and multimodal foundation models
• Symbolic reasoning, business rules, constraints, and policy engines
• Knowledge graphs and ontologies for grounding, reasoning, governance, and explainability
• Design and implement enterprise knowledge graph architectures using appropriate graph paradigms and technologies, including:
• Property graphs and labeled property graph models
• RDF, RDFS, OWL, SHACL, and semantic knowledge graphs
• Graph databases and platforms such as Neo4j, Amazon Neptune, Stardog, GraphDB, TigerGraph, JanusGraph, ArangoDB, or equivalent technologies
• Design graph data models, schemas, ontologies, taxonomies, and canonical domain models aligned with enterprise use cases and data-governance requirements.
• Develop and optimize graph queries and traversal patterns using technologies such as:
• Cypher, SPARQL, Gremlin, GraphQL, or vendor-specific graph query languages
• Graph indexing, partitioning, caching, and performance-optimization strategies
• Lead the design and implementation of agentic AI systems, including:
• Multi-agent orchestration
• Tool use and function calling
• Planning, reflection, routing, and task decomposition
• Human-in-the-loop workflows
• Agent memory and persistent state
• Failure recovery, observability, evaluation, and governance
• Architect and deploy scalable APIs (REST/WebSocket) for AI and agent workflows.
• Deploy and maintain multiple GenAI / Agentic AI solutions in production, ensuring reliability, scalability, and security.
• Integrate SQL, No‑SQL, vector, and graph databases (Postgres, MongoDB, Neo4j, ChromaDB, etc.).
• Provide technical leadership and mentorship to AI and platform engineers.
• Collaborate with cross‑functional teams to deliver AI solutions across banking, insurance, and healthcare domains.
• Ensure governance, compliance, observability, and robustness of AI systems.
• Stay current with advancements in Generative AI, agentic systems, symbolic reasoning, and knowledge‑centric AI.
• Document system designs and present solutions to both technical and non‑technical stakeholders.