Catastrophe Modelling Developer page is loaded## Catastrophe Modelling Developerlocations: Londontime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR133The RoleThe candidate will be joining a team of catastrophe modelling and technology specialists to support the automation and integration of catastrophe modelling workflows across RMS and Verisk platforms.This role is focused on transforming modelling processes into scalable, automated solutions as part of a broader front-to-back-office automation programme. The successful candidate will work closely with the Catastrophe Modelling team and Technology teams to deliver robust and efficient modelling workflows.This is a hands-on development role with a strong emphasis on execution, integration, and delivery. This role is a 6 month Contract.Key responsibilities include:* Work with the catastrophe analytics team to design and implement automated, repeatable catastrophe modelling (RMS and Verisk) workflows by translating manual processes into scalable pipelines.* Ensure automation solutions are designed using an API‐first approach, enabling the catastrophe modelling pipelines to be modular, reusable, and easily integrated with other systems and tooling.* Integrate catastrophe modelling workflows into internal systems (e.g. Igloo) and enterprise data platforms (e.g. Snowflake)* Support the design, development, and integration of AI‐enabled tools (e.g. AI agents) to enhance and automate elements of the catastrophe modelling workflow, where appropriate.* Work closely with the Catastrophe Modelling team to understand requirements and validate outputs* Collaborate with Technology and programme teams to align solutions with target architecture* Document workflows, tools, and processes to ensure transparency and maintainabilityAbout youEssential* 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, JavaScript) 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.* 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.* Experience working with the Open Exposure Data (OED) schema or related industry standards.About Willis ReWe 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 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.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 talentacquisition@willisre.comlocations: Londontime type: Full timeposted on: Posted Yesterday
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