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EXL

Analyzes business data and runs outsourced operations

Life Actuarial Resources

Actuarial & Risk ModellingConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Four to seven years of actuarial modelling experience within the life insurance industry.
  • Strong understanding of life insurance products, cash flows, actuarial principles, and model controls.
  • Experience in actuarial valuation, financial reporting, and projection modelling.
  • Experience with the MG-ALFA actuarial modelling platform is a significant advantage.
  • Knowledge of Prophet, AXIS, or other actuarial modelling software is beneficial.
  • Exposure to Python, VBA, SQL, or other automation tools is desirable.
  • Understanding of actuarial model governance and validation frameworks.
  • Experience with asset-liability cashflow projections, interest rate risk analysis, liquidity and duration management, economic scenario testing, economic capital modelling, risk-based capital frameworks, solvency and capital assessment exercises, and scenario and stress testing is an advantage.
  • Progressing toward actuarial qualification.
  • Strong analytical and problem-solving skills, and effective communication skills.

Responsibilities

  • Develop, maintain, and validate life insurance actuarial models, focusing on capital and asset-side modelling.
  • Perform model development, testing, and validation, and ensure compliance with model governance standards.
  • Support valuation, projection, experience investigation, and assumption-setting exercises.
  • Analyze model results and provide actionable business insights.
  • Support IFRS 17, Solvency, US GAAP, and other actuarial reporting requirements.
  • Prepare long-term cash flow projections and profitability analyses.
  • Assess the impact of assumption changes and model updates.
  • Conduct model reviews, reconciliations, and validation testing.
  • Investigate model discrepancies and recommend improvements.
  • Analyze model point data, assumptions, and calculation methodologies.
  • Collaborate with actuarial, finance, risk, and technology teams.
  • Support client engagements and communicate modelling results effectively.
  • Prepare technical documentation and presentations for management.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1999

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