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EXL

Analyzes business data and runs outsourced operations

Actuarial Risk Management

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

About the Job

Requirements

  • Bachelor's or master's degree in economics, mathematics, or actuarial sciences.
  • Affiliation with IAI, SoA, or IFOA.
  • At least 3–10 years of actuarial experience, with a good understanding of life product pricing, experience studies, modeling, reserving, and valuation.
  • Experience working in international markets such as the US or India.
  • Should have passed 4–12 actuarial exams.
  • Exposure to data handling, actuarial modeling, experience analyses, embedded value reporting, statutory reporting, asset-liability management, and model testing and validation.
  • Advanced life insurance and actuarial knowledge, with strong technical, analytical, and problem-solving skills.
  • Good command of the English language.
  • Ability to understand cross-cultural differences and work with clients across the globe.
  • Ability to learn technical and business knowledge and work in a fast-paced, continuously evolving environment.

Responsibilities

  • Understand the current state of affairs and problem statement.
  • Interact with clients regularly, understand their requirements, translate them into a business framework, and provide actuarial solutions.
  • Work on transformation and automation initiatives.
  • Build actuarial models for life insurance products.
  • Perform user acceptance testing, unit testing, regression testing, and other testing for actuarial model testing and validation.
  • Contribute to new business development by assessing clients' pain areas and generating solutions.
  • Identify and participate in continuous improvement initiatives.
  • Ensure compliance with Data Privacy and Protection Guidelines.

Desired Qualifications

  • Exposure to the US life insurance market.
  • Working knowledge of US-GAAP LDTI.
  • Exposure to polysystem, MG Alpha, GGY Axis, Prophet, or other modeling tools.
  • Experience in SQL, Python, or R.

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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