Python Developer - Exposure Analytics£80,000-£90,000 + Benefits Permanent London Hybrid (2-3 Days per Week Onsite)We're supporting a leading London Market insurer in the search for a Python Developer to join their Exposure Analytics team.This is a fantastic opportunity to build innovative analytics and exposure management tools that directly influence underwriting decisions, portfolio optimisation, and catastrophe risk management, while helping drive the adoption of AI-enabled solutions across the business.Key Responsibilities
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
Skills & Experience
3-5 years' 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 highly desirable, including Lakehouse architecture and Delta tables
Exposure to geospatial data and spatial analysis beneficial
Interest in AI technologies and AI-assisted development tools
London Market Insurance or Reinsurance experience desirable
Package & Working Arrangement
Permanent position
£80,000-£90,000 base salary
Hybrid working model - 2-3 days per week onsite in London
Opportunity to work on cutting-edge analytics, data and AI initiatives
Direct exposure to underwriting, exposure management and business-critical decision making
If you're a Python Developer looking to work at the intersection of software engineering, analytics, data platforms and AI within the insurance sector, I'd be keen to speak with you.
