Nat Cat Data & Actuarial Intern — PySpark Risk Analytics

AXA; Paris; Híbrido; EUR 13.000 - 20.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Remote work allowed

Office in Paris

60% Navigo pass reimbursement

Inter-Company Committee

Company restaurant and meal vouchers

Active Early Talent community

Descripción de la vacante

AXA Group Headquarters in Paris offers an internship in Nat Cat Data & Actuarial to build a geographical and probabilistic view of the Group’s natural catastrophe risk using Databricks. You will harmonize geographical references, develop PySpark tools, and contribute to risk indicators and dashboards.

You’ll work with Python (pandas, PySpark) and SQL, gain exposure to VaR/TVaR analyses, and collaborate across international teams in a dynamic, inclusive environment.

Formación

• Engineering or Master’s degree in a relevant field (CS/ Data Eng/ Applied Math/ Statistics).
• Proficiency in Python (pandas, PySpark) and/or SQL.
• Experience with Databricks (notebooks, Delta Lake, workflows).
• Solid background in probability and statistics; extreme value theory is a plus.

Responsabilidades

• Harmonizing geographical references and mapping the risk across countries.
• Developing PySpark functions to analyze large-scale loss data and aggregating results by dimension (zone, segment, peril).
• Computing VaR/TVaR at different return periods and analyzing risk contributions by segments and zones.
• Designing an interactive dashboard to present maps, contributions, and risk indicators.

Conocimientos

Python

PySpark

SQL

Pandas

Databricks

Git

Educación

Engineering or Master’s degree in CS/Data Eng/Applied Math/Statistics

Herramientas

Databricks

Descripción del empleo

AXA Group Headquarters in Paris offers an internship in Nat Cat Data & Actuarial to build a geographical and probabilistic view of the Group’s natural catastrophe risk using Databricks. You will harmonize geographical references, develop PySpark tools, and contribute to risk indicators and dashboards.

You’ll work with Python (pandas, PySpark) and SQL, gain exposure to VaR/TVaR analyses, and collaborate across international teams in a dynamic, inclusive environment.