CAT Data Analyst

AXA GLOBAL BUSINESS SERVICES PRIVATE LIMITED

Gurugram0–4 yrs28m agovia Naukri

This job at a glance

Who can apply
Freshers and up to 4 years · Master's degree
Must know
Data analysisStakeholder managementSparkPythonRSQL
Work
On-site in Gurugram
Pay
Not stated by the employer.
Skill demand
Data analysis88%Python60%Stakeholder management32%of 95 similar fresher jobs posted in India this week
Listed
5 Nov 2026 · still open

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About the Role

This role is within the Natural Events team at AXA's Group Risk Management, supporting the annual CAT modeling process and developing innovative data and modeling tools.

Key Responsibilities

  • Support evaluation of CAT models (e.g., RMS, Touchstone, ICM).
  • Review and develop internal CAT model codes.
  • Create data products and perform portfolio data analysis.
  • Assist in developing and scaling natural hazard models (floods, earthquakes, wildfires, etc.).
  • Contribute to the development and validation of the internal CAT IT ecosystem (Clymene, Notus, Rhea, GAIA).
  • Support sensitivity analysis for regulatory compliance (Solvency II).
  • Act as an AI facilitator by exploring emerging technologies and sharing knowledge.
  • Communicate results effectively to stakeholders.
  • Ensure compliance with regulation (Solvency II, GDPR) through documentation and best practices.

Requirements & Tech Stack

  • Databricks capabilities.
  • Robust Data and programming skills: collection, transformation and mining (Python, R, SQL).

Qualifications

  • Master's degree or equivalent in relevant field (Actuary, Data science, applied maths).
  • Robust interest in Climate Change and Natural Hazard science.
  • Interest in the business fields related to (re)insurance.
  • Business English - fluent (spoken and written).
  • Relevant years of experience in a relevant field.
  • Analytical skills / Ability to evolve in a diverse technical and operational environment.
  • Robust organization skills.
  • Motivated by an international and dynamic environment.
  • Curiosity to learn about the insurance industry and actuarial science.
  • Autonomous and self-Assured as point of contact on technical matters.

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