
Catastrophe Risk Analyst - Property Analytics, Reinsurance
- London
- Permanent
- Full-time
- Use machine learning and data science to contribute to the suite of proprietary analytical and efficiency tools developed by Aon UK team
- Conduct sophisticated spatial analyses and develop predictive models to uncover patterns, trends, and actionable solutions, supporting the creation of proprietary tools and datasets.
- Support client renewals, developing knowledge of cat and non-cat analytics, running all vendor models (e.g. RMS, Verisk, JBA, Impact Forecasting, CoreLogic).
- Clearly communicate insights, findings, and recommendations to technical and non-technical collaborators.
- Assist in the evolution of Aon’s UK Event Response solutions, calculating client’s potential incurred losses, post-event and on risk management basis.
- Participate in corporate practice groups and committees related to cat modelling, data science, ML, and cat risk management.
- Mentor and support junior team members in building their geospatial programming skills and technical expertise.
- MSc or higher qualification ideally in Data Science and Machine Learning.
- BSc in Geography and/or Risk.
- (Re)insurance and Catastrophe modelling knowledge/experience ideal.
- Experienced in leveraging open-source datasets to develop analytical tools and insights.
- Familiar with CI/CD and DevOps platforms, including GitLab and Microsoft Azure
- Strong communication skills (speaking, listening, and writing)
- Proficient data scientist with expertise in key frameworks and libraries, for example: Pandas, Geopandas, Rasterio, Apache Sedona, Mosaic, Scikit-learn, PyTorch; or equivalent.
- Coding skills in Python, SQL, R
- ArcGIS / Mapping Tools
- Tableau or PowerBI experience