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Genpact

Global professional services for data-driven operations

Associate – Insurance - Life

Actuarial & Risk ModellingConfirmed live in the last 24 hours
Full-timePhilippinesNo salary listedHybrid

About the Job

Requirements

  • A Bachelor's degree in Actuarial Science, Economics, Finance, or Risk Management and Insurance, or a Master's degree in Statistics.
  • Required skills include critical thinking, fraud management, insurance, life insurance, and quality management.
  • English proficiency at Intermediate (B1) level is required.

Responsibilities

  • Analyze complex insurance data sets to identify trends, patterns, and insights that inform business decisions.
  • Develop, maintain, and validate actuarial models to evaluate risk and determine appropriate pricing strategies.
  • Collaborate with cross-functional teams, including underwriting, finance, and operations, to provide data-driven recommendations.
  • Prepare clear and concise reports and presentations to communicate findings and recommendations to stakeholders.
  • Monitor industry trends, regulatory changes, and emerging risks to ensure compliance and relevance of analyses.
  • Support decision-making for product development, pricing, and risk management through quantitative analysis.
  • Contribute to the documentation of actuarial processes, assumptions, and methodologies for internal and regulatory purposes.

About the Company

Genpact

Global professional services for data-driven operations

Genpact is a professional services firm that helps other companies transform their operations using data, analytics, and artificial intelligence. It started inside General Electric as a back-office unit and became an independent company in 2005, growing into a global business with a focus on digital transformation and AI-powered operations. Genpact's offerings include applying data and AI to automate and optimize business processes, supported by its Cora AI platform and strategic acquisitions like XponentL Data. It shifts from traditional outsourcing to building intelligent, autonomous operations for clients. The company aims to deliver measurable business impact by turning operational processes into data-driven, automated systems that improve efficiency and decision-making.

Company size
10,001+
Company stage
IPO
Headquarters
Amherst, New York
Founded
1997

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