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Genpact

Global professional services for data-driven operations

Analyst – Domain Analytics - Claims & Underwriting

Actuarial & Risk ModellingPosted on Nov 11
Full-timeGurugram, Haryana, IndiaNo salary listed

About the Job

Requirements

  • A bachelor's degree in Business Analytics, Computer Science, or Statistics.
  • Skills in Alteryx, catastrophe risk management, data integration, demand forecasting, Microsoft Excel, Microsoft Power BI, Microsoft SQL Server, Microsoft Visual Basic for Applications, Oracle Data Integrator, personal effectiveness, portfolio management, predictive modeling, property and casualty insurance, Python, reinsurance, risk analytics, SAP BusinessObjects Data Services, SnapLogic, statistics, SQL, Tableau, Talend, underwriting risk, and VBA macros.
  • English language proficiency is required.

Responsibilities

  • Scrub exposure data and apply terms and conditions.
  • Model data and publish results.
  • Prepare exposure summaries for underwriters.
  • Review submissions for completeness, including SOV and slips, and follow up with underwriters as required.
  • Convert client-provided Excel data into AIR, RMS, or proprietary tool formats.
  • Code COPE information and import and validate exposure data in AIR or RMS.
  • Geocode all locations and analyze exposure.
  • Understand insurance layer structures and read and interpret slips and binders to identify terms and conditions.
  • Generate insights that enable better risk management.

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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