Catastrophe Data & Actuary Intern - PySpark, Remote/Hybrid

AXA; Paris; Hybrid; EUR 11,000 - 20,000; Full time

Benefits offered by this job

Hybrid work

Remote work allowed

60% Navigo pass reimbursement

Meal vouchers

Company restaurant

Job summary

AXA Group Headquarters is seeking an intern to build a geographical and probabilistic view of Group natural catastrophe risk using granular loss data processed in Databricks. You will harmonize geographical references, map risk indicators, and develop tools to analyze loss data with PySpark.

As part of a collaborative, international team in Paris, you will compute standard risk measures (VaR, TVaR) and contribute to user-friendly dashboards accessible to stakeholders.

Qualifications

• Engineering or Master’s degree in Computer Science, Data Engineering, Applied Mathematics, Statistics, or equivalent.
• Strong Python (pandas, PySpark) and SQL skills.
• Experience with Databricks and version control (Git).

Responsibilities

• Develop a geographically and probabilistic view of natural catastrophe risk using Databricks.
• Create reference maps of exposure and risk indicators.
• Build PySpark functions to analyze large-scale loss data.
• Compute VaR and TVaR at different return periods.
• Develop interactive dashboards to present results.

Skills

Python

SQL

Databricks

Statistics

French

Business English

Git

Education

Engineering or Master’s degree

Job description

AXA Group Headquarters is seeking an intern to build a geographical and probabilistic view of Group natural catastrophe risk using granular loss data processed in Databricks. You will harmonize geographical references, map risk indicators, and develop tools to analyze loss data with PySpark.

As part of a collaborative, international team in Paris, you will compute standard risk measures (VaR, TVaR) and contribute to user-friendly dashboards accessible to stakeholders.