Senior NAT CAT Analyst
UK Visa Sponsorship Analytics
Analytics are greyed out due to low classification confidence (53.0%).
Occupation Type
Data analysts
Occupation Code Skill LevelMedium Skilled
Sponsorship Salary Threshold
£41,700
(£21.38 per hour)
Standard minimum applies
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Description
The Role
We are looking for a Catastrophe Modeller who will deliver high-quality modelling and contribute to building a differentiated analytics capability from the ground up.
This role offers a unique blend of hands-on modelling and exposure to strategic initiatives. You’ll work closely with senior brokers and analytics colleagues, gaining insight into client needs and helping shape our analytics offering.
Key Responsibilities Include
We are looking for a Catastrophe Modeller who will deliver high-quality modelling and contribute to building a differentiated analytics capability from the ground up.
This role offers a unique blend of hands-on modelling and exposure to strategic initiatives. You’ll work closely with senior brokers and analytics colleagues, gaining insight into client needs and helping shape our analytics offering.
Key Responsibilities Include
- Deliver catastrophe modelling analysis to support reinsurance placements, portfolio reviews, and client advisory work across property and speciality lines (Marine/Retro/Property Treaty) experience desirable but not essential).
- Collaborate with senior analytics and broking stakeholders to support the development of catastrophe modelling workflows, processes, and reporting tools.
- Assist in the creation of catastrophe broking packs that provide clear, actionable insights.
- Support quality assurance processes and help ensure consistency across client deliverables.
- Present model outputs and risk insights to brokers, clients, reinsurers, and other stakeholders.
About You
- Experience in catastrophe modelling at a reinsurer, insurer, broker, or vendor.
- Familiarity with at least one vendor model (RMS or Verisk).
- Understanding of common reinsurance structures (e.g., Catastrophe Excess of Loss, Proportional treaties).
- Strong Excel and data manipulation skills; SQL knowledge essential.
- Ability to communicate technical work clearly to non-technical audiences.
- Comfortable working in a fast-paced, collaborative environment.
- Technical background in coding, data science, or scientific disciplines.
- Coding skills in Python, R, or similar; geospatial (GIS) experience an advantage.
We combine specialist broking with analytics, modeling and research to help insurers optimize risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship-driven, transparent and outcome-focused.
At the heart of Willis Re is a focus on delivering the most cutting-edge analytical solutions to enable more informed, better decision-making for risk selection, portfolio optimization, and capital management.
The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking.
Willis Re will also leverage recognized technical expertise from WTW’s Insurance Consulting & Technology business including their advanced modeling and analytical ca
pabilities. Alongside this will be WTW’s Research Network, an award-winning business supporting and influencing science to improve the understanding and quantification of risk.