Senior Product Developer (Catastrophe Modelling)

TL;DR

Senior Product Developer (Catastrophe Modelling): Building next-generation catastrophe modelling tools, workflows, and analytical products with an accent on the design and ownership of an in-house financial engine. Focus on automating exposure management, implementing Snowflake-based data pipelines, and integrating third-party APIs.

Location: London

Company

Specialist broking and analytics firm helping insurers optimize risk transfer, strengthen balance sheets, and achieve sustainable growth.

What you will do

• Build and maintain proprietary catastrophe and exposure analytics tools for the analytics team.
• Lead the development and ownership of an in-house financial engine supporting portfolio analytics, loss analysis, and event response.
• Implement Snowflake-based data workflows and analytics pipelines, including API integrations with RMS and Verisk.
• Collaborate with catastrophe modellers and brokers to translate analytical requirements into technical solutions.
• Support the development of AI-enabled tooling and reusable modelling pipelines and automation frameworks.
• Build tools and workflows using an API-first architecture approach and maintain technical documentation.

Requirements

• Degree in a technical discipline such as Mathematics, Physics, Computer Science, or Engineering.
• Proven experience in software development or data engineering within catastrophe modelling or insurance analytics environments.
• Experience using vendor model APIs (e.g., RMS, Verisk).
• Strong proficiency in Python and SQL for building scalable data and automation workflows.
• Deep understanding of catastrophe modelling concepts, including exposure structures, probabilistic modelling, EP curves, AAL, and PML.
• Ability to translate business requirements into robust technical solutions.

Nice to have

• Experience building AI-enabled tools, such as AI agents or assistive analytics solutions.
• Familiarity with insurance and reinsurance data structures (exposure, portfolio, and results data).
• Experience creating geospatial visualisations or building portfolio analytics platforms.
• Working knowledge of modern data platforms like Databricks or Snowflake.
• Understanding of data pipeline architecture and workflow orchestration.

Culture & Benefits

• Diverse, inclusive, and flexible work environment.
• Commitment to equal opportunity for all qualified individuals.
• Exposure to cutting-edge analytical solutions and advanced risk quantification research.