At a Glance
- Tasks: Develop innovative catastrophe modelling tools and analytical products for global reinsurance.
- Company: Join Willis Re, a leader in analytics and catastrophe modelling.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on cutting-edge solutions and career advancement.
- Why this job: Shape the future of catastrophe analytics technology and solve complex problems.
- Qualifications: Degree in a technical field and experience in software development or data engineering.
The predicted salary is between 70000 - 90000 £ per year.
Willis Re is seeking a technically strong and commercially minded Senior Product Developer to join our Analytics team in London. This is a hands‑on development role focused on building the next generation of catastrophe modelling tools, workflows and analytical products that support our global reinsurance business. The successful candidate will work closely with catastrophe modellers, brokers, and technology specialists to design and implement scalable solutions that automate and enhance catastrophe modelling and exposure management workflows. A key deliverable for this role will be the design, development and ownership of an in‑house financial engine used to support catastrophe analytics, portfolio analysis, and event response. The role will also play a central part in expanding Willis Re’s cloud‑based analytics ecosystem, including data ingestion workflows, API integrations and automation tooling. This is an excellent opportunity for someone who enjoys solving complex technical problems in a highly analytical environment and wants to help shape the future of catastrophe analytics technology within Willis Re.
Key Responsibilities
- Build and maintain proprietary catastrophe and exposure analytics tools used by the Willis Re Catastrophe Analytics team
- Lead development and ownership of an in‑house financial engine supporting portfolio analytics, loss analysis and event response workflows
- Develop and implement Snowflake‑based data workflows and analytics pipelines, including API integrations with third‑party platforms such as RMS and Verisk
- Collaborate with catastrophe modellers and brokers to translate analytical requirements into robust technical solutions
- Support the development and implementation of AI‑enabled tooling and analytical workflows where appropriate
- Support development of reusable modelling pipelines, automation frameworks and analytical products
- Build tools and workflows using an API‑first architecture approach
- Produce technical documentation and contribute to development standards and best practices
Qualifications
Essential
- Degree in a technical discipline such as Mathematics, Physics, Computer Science, Engineering or a related quantitative field
- Proven experience in software development or data engineering within catastrophe modelling or insurance analytics environments, including use of vendor model APIs (e.g. RMS, Verisk)
- Strong understanding of catastrophe modelling concepts and data, including exposure structures, probabilistic modelling, EP curves, AAL, and PML
- Strong programming and data skills (e.g. Python, SQL) with experience building scalable data and automation workflows on large datasets
- Knowledge of catastrophe model data formats and databases (SQL)
- Ability to translate business requirements into robust technical solutions, supported by strong analytical, problem‑solving, and communication skills
- Comfortable using modern AI tools to support and accelerate the development lifecycle
Desirable
- Experience building or contributing to AI‑enabled tools, such as AI agents or assistive analytics solutions, to augment data or modelling workflows
- Familiarity with insurance and reinsurance data structures, including exposure, portfolio, and results data
- Experience building financial engines or portfolio analytics platforms
- Experience creating geospatial visualisations
- Working knowledge of modern data platforms and cloud‑based analytics environments (e.g. Databricks, Snowflake, or similar)
- Understanding of data pipeline architecture, workflow orchestration, and integration patterns
About Willis Re
We combine specialist broking with analytics, modelling and research to help insurers optimise 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 optimisation 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 recognised technical expertise from WTW’s Insurance Consulting & Technology business including their advanced modelling and analytical capabilities. Alongside this will be WTW’s Research Network, an award‑winning business supporting and influencing science to improve the understanding and quantification of risk.
Equal Employment Opportunity
Willis Re is committed to embracing a diverse, inclusive and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation or any other legally protected categories. If you have a need that requires accommodation, please email us at.
If you’re curious, collaborative, and ambitious, you’ll find the opportunity at Willis Re to shape something extraordinary.
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