Developer - Exposure Analytics

• Develop web-based analytics tools delivering exposure, loss simulation, and risk insights to underwriting teams
• Build and integrate solutions within a modern data lake architecture
• Design bespoke exposure calculation engines using Open Exposure Data (OED) formats
• Support AI-driven initiatives, including natural language querying and agentic workflows
• Collaborate with Data, Infrastructure, Claims, Pricing, and Underwriting teams
• Contribute to the development of a reinsurance results data warehouse and portfolio analytics capability
• Improve data quality, reconciliation processes, and reporting frameworks

Technologies:

• AI
• CI/CD
• Data Warehouse
• Databricks
• Django
• FastAPI
• Flask
• GitHub
• Support
• JavaScript
• Python
• React
• TypeScript
• Web
• NodeJS

• 3-5 years of software development experience
• Strong Python development skills with FastAPI, Flask, or Django
• Experience building full-stack applications using React, JavaScript/TypeScript, and Node.js
• Knowledge of GitHub, CI/CD, automated testing, and Agile delivery methodologies
• Databricks experience is highly desirable, including Lakehouse architecture and Delta tables
• Exposure to geospatial data and spatial analysis is beneficial
• Interest in AI technologies and AI-assisted development tools
• London Market insurance or reinsurance experience is desirable

We are supporting a leading London Market insurer in the search for a Python Developer to join our Exposure Analytics team. This is a permanent hybrid role based in London, with 2-3 days per week onsite, offering a salary of £80,000-£90,000 plus benefits. You will have the opportunity to work on cutting-edge analytics, data and AI initiatives that directly influence underwriting decisions, portfolio optimisation, and catastrophe risk management, while helping drive the adoption of AI-enabled solutions across our business.