Catastrophe Risk Analyst - Property Analytics, Reinsurance

This exciting Catastrophe Risk Analyst position within Aon's top-tier Property Analytics team offers a unique opportunity to leverage advanced data science and machine learning skills to advise clients on critical natural disaster risks.

For aspiring professionals in the field of risk analysis and data science, this role presents a compelling career advancement pathway. It combines cutting-edge analytical techniques with practical application in a dynamic and impactful industry. Aon is renowned for its commitment to fostering a culture of "better decisions," and this role is central to that mission, directly contributing to protecting and enriching lives globally.

Key Advantages for Candidates:

• Pioneering Work: Be at the forefront of catastrophe risk analysis, utilizing machine learning and data science to develop proprietary tools and datasets that shape client understanding of natural disasters like windstorms, floods, and earthquakes.
• Client Impact: Directly contribute to client success by providing sophisticated insights into their exposures, supporting crucial decision-making for renewals, and assisting in post-event loss calculations.
• Professional Development: Engage in continuous learning through a strong corporate practice group, participating in discussions and committees focused on cat modeling, data science, and risk management. The role also offers the opportunity to mentor junior colleagues, solidifying your own expertise.
• Collaborative Environment: Work within a highly regarded European Catastrophe Analytics team, fostering close collaboration with brokers, academic partners, and model evaluation specialists.
• Flexibility: Enjoy the benefits of a hybrid working model, with the flexibility to work both virtually and from the London office, promoting a healthy work-life balance.
• Growth Opportunities: Aon's commitment to a continuous learning culture ensures ample opportunities for professional growth, skill enhancement, and career progression.

Key Considerations for Candidates:

• Advanced Qualifications: A strong academic foundation is essential, ideally an MSc or higher in Data Science and Machine Learning, complemented by practical coding and IT skills. A BSc in Geography and/or Risk is also valued.
• Technical Proficiency: Expect to utilize advanced analytical tools and programming languages. Expertise in Python, SQL, and data science libraries such as Pandas, Geopandas, Rasterio, Apache Sedona, Mosaic, Scikit-learn, and PyTorch (or equivalents) is crucial. Experience with ArcGIS/Mapping Tools and data visualization tools like Tableau or PowerBI is also beneficial.
• Industry Knowledge: While (Re)insurance and Catastrophe modelling knowledge/experience are ideal, a willingness to learn and adapt is key. Familiarity with CI/CD and DevOps platforms such as GitLab and Microsoft Azure will be advantageous.
• Communication Skills: The ability to clearly articulate complex findings and recommendations to both technical and non-technical stakeholders is paramount.
• Problem-Solving: This role demands a proactive approach to problem-solving, requiring the ability to conduct sophisticated spatial analyses and develop predictive models to uncover patterns and trends.

This Catastrophe Risk Analyst role is an exceptional opportunity for individuals seeking to make a tangible impact in the field of risk management, while benefiting from Aon's supportive, inclusive, and growth-oriented culture.