Senior Catastrophe Modelling Analyst

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🌐 United Kingdom, United States – Remote

🇬🇧 United Kingdom – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧐 Analyst

👻 Ghost score 10%

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Accelerant

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

🛡️ Insurance

☁️ SaaS

🤝 B2B

💰 $150M Private Equity Round - Accelerant on 2023-06

Insurance • SaaS • B2B

Accelerant is a digital-first risk exchange and insurance platform that connects managing general agents (MGAs), underwriters, reinsurers, and institutional capital through a tech-powered, data-driven marketplace. The platform provides real-time analytics, underwriting tools, performance metrics, and operational support (actuarial, claims, regulatory) to streamline specialty insurance distribution and enable faster, more transparent capital deployment. Accelerant positions itself as a SaaS-style partner for specialty insurance firms, focused on improving efficiency, transparency, and profitable growth.

📋 Description

• 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 • Collaborate with brokers and other stakeholders • Contribute to the automation and continued development of the Group's catastrophe modelling capabilities, improving efficiency, scalability and analytical insight • Help shape and continuously improve Accelerant's catastrophe modelling and exposure management capabilities

🎯 Requirements

• 5 to 10 years of experience in catastrophe modelling and exposure management • Strong hands-on experience with the Verisk catastrophe models (AIR Touchstone), including 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 preferred • Experience in exposure management, accumulation monitoring and portfolio optimisation preferred • Experience supporting catastrophe reinsurance analysis or treaty purchasing preferred • Experience working with brokers, reinsurers, capital providers and model vendors preferred • Experience improving or automating catastrophe modelling, exposure or reporting processes preferred