Note: The job is a remote job and is open to candidates in USA. Accelerant is a data-driven risk exchange connecting specialty insurance underwriters with risk capital providers. The Senior Catastrophe Modelling Analyst will deliver catastrophe modelling and exposure analytics across global risks, territories, and perils to support portfolio management, underwriting, reinsurance, and strategic decisions. The role also involves improving exposure data quality, collaborating with internal and external stakeholders, and advancing catastrophe modelling capabilities.
Responsibilities
- Deliver and interpret catastrophe modelling results and portfolio analytics across a broad range of risks, territories and perils
- Support exposure management, accumulation monitoring and PML optimisation, providing insight into key concentrations and emerging areas of risk
- Partner with Exposure Data and Underwriting to improve exposure data quality, validation and harmonisation across the Group
- Work closely with Ceded Reinsurance to provide catastrophe analytics to inform the Group's catastrophe treaty strategy and purchasing decisions
- Support Risk Capital partners, insurers and reinsurers with high-quality modelling, portfolio analysis and external reporting, while collaborating with brokers and other stakeholders
- Contribute to the automation and continued development of the Group's catastrophe modelling capabilities, improving efficiency, scalability and the depth of analytical insight to the business
Skills
- 5 to 10 years of experience in catastrophe modelling and exposure management
- Strong hands-on experience with the Verisk catastrophe models (AIR Touchstone) with a good understanding of model inputs, outputs, assumptions and limitations
- Strong analytical and problem-solving skills, with the ability to interpret complex model results and turn them into clear, actionable insights
- Strong technical capabilities, including SQL, R/Python and GIS
- Excellent communication and stakeholder management skills, with the ability to work effectively with both technical and non-technical audiences
- Strong interest in identifying and implementing practical applications of AI across catastrophe modelling and risk analytics workflows
- Experience in the Lloyd's / London Market or international specialty insurance environment
- Experience in exposure management, accumulation monitoring and portfolio optimisation
- Experience supporting catastrophe reinsurance analysis or treaty purchasing
- Experience working with brokers, reinsurers, capital providers and model vendors
- Experience improving or automating catastrophe modelling, exposure or reporting processes
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