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

Executive

• 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.

Manager

• Review and analyze patient medical records to extract relevant clinical information in line with defined guidelines and criteria.
• Apply clinical knowledge and judgment to accurately interpret diagnoses, treatments, and patient history.
• Summarize key medical insights in a clear, concise, and structured format for further review or decision-making.
• Ensure compliance with clinical standards, documentation protocols, and data confidentiality requirements.
• Collaborate with internal teams to clarify clinical details and maintain high-quality output within defined timelines.

Lead Assistant Manager – Physician Reviewer

Data Scientist

Senior Data Scientist – AI Specialist

Recruitment

• Manage end-to-end recruitment process, including sourcing, interviewing, and hiring candidates.
• Work with hiring managers to define job descriptions and create job postings.
• Conduct prescreening interviews, evaluate candidates, and manage the offer process.
• Source potential candidates through various channels (job boards, social media, networking, etc.
• Build and maintain a pipeline of potential candidates for future hiring needs.
• Engage with candidates to create a positive candidate experience.
• Coordinate new hire onboarding processes to ensure a smooth transition into the company.
• Provide support to new hires during their integration into the organization.
• Support initiatives to enhance employer branding and promote the company as an employer of choice.
• Attend recruitment events and career fairs to increase visibility of the organization.
• Ensure all recruitment processes comply with legal standards and internal policies.
• Track key recruitment metrics (e.g., time to hire, cost per hire) and prepare regular reports for leadership.

Executive Recruiter – Health & Life Science

Actuary

• Life Actuarial roles include mathematical analysis and actuarial techniques
• Work in various areas within the actuarial field

Life Actuarial Resources

• Gather data from internal stakeholders
• Prepare workpapers for filing tax returns for federal, state, and local entities.
• Maintain supporting workpapers and all correspondences in the documents repository
• Complete tasks assigned by the supervisor

Associate Data Scientist

Full-stack Engineer

Full Stack Developer

Analytics Engineer

AWS Analytics Engineer

Artificial Intelligence

AI - Data Scientist

AI Engineer

• **System Design & Architecture:** Architect end-to-end Generative AI systems by operationalizing the 7-layer AI architecture (Data Sources, Preprocessing, Model Selection, Orchestration, Inference, Integration, and Application).
• **Model Selection & Tuning:** Evaluate and select cutting-edge commercial (e.g., GPT-4) and open-source models, and fine-tune models for domain-specific use cases.
• **LLMOps, Observability & Pipelines:** Establish LLMOps standards for model versioning and CI/CD. Implement foundational observability (OBS) layers using tools like Datadog, Splunk, or Prometheus to monitor system health, API latency, and basic application metrics.
• **Integration & Data Protection:** Integrate AI solutions with existing APIs while enforcing core data protection measures, including Role-Based Access Control (RBAC), data encryption in transit, and basic PII (Personally Identifiable Information) masking to manage hallucinations and adversarial attacks.
• **Strategic Leadership:** Collaborate with stakeholders to map business challenges to AI solutions and establish AI governance frameworks.
• **Client Consulting:** Act as the primary onshore technical liaison, facilitating client workshops, requirements gathering, and translating business pain points into technical AI blueprints.

Gen AI Enterprise Architect – AVP

Administrative Assistant

• Manage end-to-end reinsurance and Broking Operations including system setup, sanctions checks, submissions, and facultative/treaty contract administration.
• Handle post-bind activities such as cancellations, endorsements, and accurate calculation and booking of reinsurance premiums and bordereaux.
• Calculate and record contractual obligations including profit commission, premium adjustments, and no-claims bonuses, ensuring compliance with quarterly and annual instructions.
• Perform variance analysis of actual results against expectations and prior periods, while maintaining regular communication with customers and internal stakeholders.
• Lead teams through daily operations, query resolution, Lean process improvements, and structured training initiatives to enhance controls and performance.
• Experience on Bureau systems and LPAN creation knowledge will be an added advantage.

Lead Assistant Manager – Insurance, Reinsurance, Back Office

Vice President

• Developed and executed enterprise-wide analytics strategies aligned with business goals across global banking clients.
• Translated complex financial and operational challenges into actionable, data-driven insights to support digital and risk transformation.
• Led strategic programs in credit risk mitigation using advanced analytics.
• Held full P&L ownership for multiple banking accounts; consistently delivered 3x+ ROI to clients.
• Oversaw offshore delivery and ensured execution quality in risk and/or fraud and compliance areas.
• Established governance frameworks and operational controls to manage large-scale delivery in matrixed environments.
• Built and led high-performing analytics and delivery teams across geographies.
• Maintained above-average ESAT and reduced HiPo attrition to below 20% through mentorship, development, and engagement initiatives.
• Served as a trusted advisor to CXO-level stakeholders, ensuring alignment between analytics initiatives and business objectives.
• Facilitated cross-functional collaboration and led executive-level analytics governance forums.
• Drove insight-led client engagements and enabled outcome-based delivery models.
• Simplified complex data into executive-ready dashboards and stories that enabled strategic decisions.
• Created go-to-market analytics offerings tailored to banking clients.
• Partnered with technology vendors and developed proposals, accelerators, and value-based solutions.

EXL