Catastrophe Research Analyst

Catastrophe Research Analyst

Interested in using data, models and AI to better understand natural catastrophe risk?
Looking to start or grow your career in (re)insurance analytics within a collaborative, global team?

Join Aon’s View of Risk team in Prague and help us expand AI‑driven tools that improve the way we evaluate and manage catastrophe risk!

The job offers hybrid working (flexible combination of office and home working, in line with our local smart working policy).

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.
As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.

What the day will look like

• Supporting the expansion of AI‑driven automation and tooling within the View of Risk team.
• Assisting in building automated workflows for catastrophe model evaluation and comparison.
• Helping to develop and maintain analytical pipelines and scripts that improve efficiency and consistency.
• Preparing and processing data for model development and enhancement projects.
• Supporting calibration, validation and documentation of catastrophe model changes.
• Helping to maintain and enhance in‑house tools (such as adjustment tools), including testing, basic troubleshooting and user documentation.
• Running catastrophe models, organizing outputs for analysis, and contributing to benchmarking, sensitivity analysis and standard reporting.
• Collaborating with colleagues across View of Risk and other analytical teams, and helping to prepare concise technical summaries and presentation materials.

How this opportunity is different

You will apply your analytical and coding skills to real‑world catastrophe risk problems, learn from expert specialists, and contribute to innovative tools used across Aon’s global analytics community. You will be part of an inclusive, international team and benefit from a hybrid working model based in Prague.

Skills and experience that will lead to success

• Degree (or equivalent experience) in a quantitative or natural science discipline, such as physics, mathematics, engineering, geoscience, atmospheric/environmental science, or data/computer science.
• Programming experience in Python (and/or R) and basic SQL.
• 1-2 years’ experience in catastrophe modelling, (re)insurance analytics, data science or a related quantitative field; relevant internships or projects are also welcome.
• Eagerness to learn, with strong analytical and problem‑solving skills.
• Ability to work both independently and as part of a global team.
• Clear written and verbal communication skills in English.