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Developer - Exposure Analytics

INTEC SELECT LIMITED·London (South East England)
£80 000 – £90 000 / year
Vox Summary
  • Role Overview: Develop web-based analytics tools for exposure, loss simulation, and risk insights; support AI initiatives and collaborate with multiple teams.
  • Key Requirements: 3–5 years' software development experience; strong Python skills with FastAPI, Flask, or Django; experience with full-stack applications and data architecture.
  • Conditions & Benefits: Permanent position; £80,000–£90,000 salary; hybrid working model with 2–3 days onsite in London; exposure to AI, analytics, and underwriting decision-making.
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Job description

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.

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Original source
reed.co.uk
Posted
Jun 24, 2026 · true date
Last verified
3 hours ago
Quality score
65/100
Salary stated30
Company identified0
applyUrl0
postedAt15
Complete description20

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