Senior Actuarial Analyst - Prophet Modeler

WNS Global Services Pvt Ltd

Gurugram District

Sur place

INR 1 200 000 - 2 400 000

Plein temps

14 jours+

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Résumé du poste

WNS Global Services Pvt Ltd in Gurgaon is seeking a Senior Analyst - Actuarial with hands-on Prophet modelling experience to support production and model development in Life Insurance domains.

The role focuses on data handling, model development and validation, and implementing automation to improve run times, with immediate joining for skilled candidates.

Qualifications

  • Strong knowledge of data handling, actuarial valuation techniques, and modelling concepts, with hands-on experience in Prophet.
  • Proficient in MS Office Suite.
  • Experience using actuarial software and policy systems (Prophet, MG alfa etc).
  • Desirable- Should possess the ability to think out of the box – contingency management
  • Able to develop data mapping and downstream testing in valuation models

Responsabilités

  • Role - To act as a key member to the Production support and Model Development
  • Build, update, and maintain actuarial models, including product setup, assumptions, and run configurations.
  • Work on Prophet model development and enhancements, including incorporation of new product features and regulatory changes.
  • Execute model runs, analyze outputs, and investigate movements or variances in results.
  • Perform model validation and testing (UAT/parallel runs), identifying gaps and implementing solutions.
  • Assist in automation and process improvements to enhance efficiency and reduce run times

Connaissances

Data handling
Actuarial modelling concepts
Life insurance products
MS Office Suite

Outils

Prophet
MG alfa

Description du poste

Senior Analyst - Actuarial - Prophet Modeler - Immediate Joiners Required - Gurgaon

Company Description WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption. Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

Job Description

Role - To act as a key member to the Production support and Model Development

  • Strong knowledge of data handling, actuarial valuation techniques, and modelling concepts, with hands-on experience in Prophet.
  • Good understanding of Life Insurance products, including annuities and guaranteed products, across various lines of business.
  • Build, update, and maintain actuarial models, including product setup, assumptions, and run configurations.
  • Work on Prophet model development and enhancements, including incorporation of new product features and regulatory changes.
  • Execute model runs, analyze outputs, and investigate movements or variances in results.
  • Perform model validation and testing (UAT/parallel runs), identifying gaps and implementing solutions.
  • Assist in automation and process improvements to enhance efficiency and reduce run times.
Qualifications

Graduation/Masters in any stream Min 1-3 years’ experience in the Life Insurance/ Variable Annuities domain (For Senior Analyst) with 3 Actuarial papers preferable

  • Proficient in MS Office Suite
  • Experience using actuarial software and policy systems (Prophet, MG alfa etc)
  • Desirable- Should possess the ability to think out of the box – contingency management
  • Able to develop data mapping and downstream testing in valuation models
Experience Level Senior Level
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