Flood Risk Analyst – Nat Cat Modeling (Deltares)

AXA; Paris; Hybrid; EUR 42,000 - 56,000; Full time

Benefits offered by this job

International work environment

Hybrid work arrangement

Navigo pass reimbursement 60%

Company restaurant & meal vouchers

Active Early Talent community

Job summary

AXA Group Headquarters is seeking a Flood Nat Cat Analyst to join the Risk Management team in Paris. You will work on developing advanced flood risk models, using Deltares tool suites and Databricks, and integrate national hazard maps to improve protection systems.

The role requires strong Python/R analytics, GIS familiarity, and excellent English, with hybrid work in a globally oriented environment. Early talent program with international exposure offers valuable learning opportunities.

Qualifications

• Final year of a top-tier engineering school or a Master’s degree (M2) in Applied Mathematics, Actuarial Science, Data Science, Hydraulics & Hydrology, or related field.
• Strong Python-R / data analytics skills; GIS familiarity a plus.
• Written and oral English.

Responsibilities

• Actively participate in developing and mastering a high-level flood risk modeling pipeline using Deltares model suites (WFLOW, SFINCS).
• Incorporate official flood hazard maps and local defense data to improve model representations for target countries.
• Enhance Databricks-based codes and deploy new methods to generate flood footprints for live monitoring of natural catastrophe events.
• Contribute to expanding AXA risk models for risk management and underwriting purposes.

Skills

Python & data analytics

GIS familiarity

English (written & spoken)

Education

Engineering school (top-tier) or Master’s in Applied Math/Actuarial/Data Science/Hydraulics & Hydrology

Tools

Deltares WFLOW

Deltares SFINCS

Databricks

Job description

AXA Group Headquarters is seeking a Flood Nat Cat Analyst to join the Risk Management team in Paris. You will work on developing advanced flood risk models, using Deltares tool suites and Databricks, and integrate national hazard maps to improve protection systems.

The role requires strong Python/R analytics, GIS familiarity, and excellent English, with hybrid work in a globally oriented environment. Early talent program with international exposure offers valuable learning opportunities.