Aon Graduate Programme 2027 - Catastrophe Modelling

Catastrophe Modelling Graduate Programme

Role responsibilities

• Prepare, interpret, and quality-check client exposure, insurance, and claims data; investigate anomalies and ensure analysis is accurate and traceable.
• Run catastrophe models to quantify the likelihood and potential impact of natural, cyber, and other human-made events.
• Analyse model outputs, test scenarios, and translate results into clear client-focused insights.
• Test how data quality, assumptions, portfolio changes, and input variables affect results, and identify when expert review is needed.
• Evaluate vendor, internally developed, and AI-supported outputs, considering methods, strengths, limitations, and client relevance.
• Monitor major catastrophe events and provide timely information about potential impacts.
• Research emerging risks, climate change, and developments in natural and cyber catastrophe risk.
• Develop and maintain datasets, analytical tools, models, and client solutions; future opportunities may include SQL, Python, data pipelines, and advanced analytics.
• Use tools such as Copilot and analytics platforms carefully, refining prompts and checking that outputs are reliable and appropriate.
• Coordinate analytical tasks, seek and apply feedback, and prepare presentations for technical and non-technical collaborators.
• Work with colleagues, academic institutions, and industry partners to test ideas and develop approaches.

Graduate development and qualifications

• The role is part of Aon's 2027 Graduate Programme.
• Graduates join the Launch Programme and progressively build technical and professional capabilities with support.
• The programme includes business learning, centralised learning, and professional qualifications.
• Graduates are expected to complete Go Further Apprenticeship programmes and receive support toward a Level 4 Diploma in Insurance; the source description ends before the qualification name is complete.
• SQL, Python, advanced analytics, and other capabilities are developed through experience and are not all expected on joining.
• Use critical judgement with AI-enabled tools and review machine-generated outputs.

Programme dates