This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
This role is part of Aon's Impact Forecasting Flood team, which develops catastrophe flood models used in the re/insurance industry. You will work on large‑scale hydrological modelling and GIS processing to help turn precipitation data into flood footprints and loss estimates for our clients.
Job Responsibility
Collaborate with the Flood team, especially colleagues working on rainfall–runoff modelling and flood mapping
Calibrate and test large‑scale rainfall–runoff models using gauge and historical precipitation data
Develop and refine stochastic flood event sets based on calibrated models
Lead GIS and data workflows linking flood footprints, event definitions and exposure data to quantify losses
Maintain and enhance event response infrastructure using external data (e.g. satellite flood footprints) and internal flood zones
Contribute to post‑event and predictive workflows to recreate recent floods and estimate potential impacts for ongoing or forecast events
Automate and stabilize processing pipelines using Python and GIS tools
Requirements
University degree in Hydrology, Cartography, Meteorology, Climatology, Geography, Mathematics or a related Earth science field
Strong skills in either GIS and raster data processing OR hydrology/environmental modelling (e.g. precipitation–runoff processes, river flow, catchments), with a desire to grow in the other area
Experience using a scripting or programming language (such as Python or R) to automate tasks, ideally applied to GIS, raster or environmental data
A careful, structured approach to working with data, including basic quality checks and clear documentation
Nice to have
worked with hydrological rainfall–runoff or other environmental models
processed satellite or remote‑sensing data (e.g. flood footprints)
comfortable with Linux, Git and cloud or remote servers
experience in catastrophe modelling, flood risk assessment or a related field