Top Tech Jobs & Startup Jobs in London

Research and analyse evolving vehicle technology and UK car parc data to inform vehicle underwriting decisions. Develop data-driven insights, propose terms/excess rules, collaborate cross-functionally, and communicate statistical findings to stakeholders using analytical tools.

Lead QA insight, reporting and automation strategy for a regulated insurance business. Define governance, interpretation standards and requirements for QA reporting, drive risk-based assurance and targeting, identify automation and AI/text/speech analytics opportunities, and provide senior strategic QA leadership to improve customer outcome monitoring and assurance effectiveness.

Lead BAU and strategic pricing implementation projects: gather requirements, design optimized solutions, develop and test pricing algorithms (Python/SQL), manage pre-release activities, document pipelines, provide data-driven insights, mentor and recruit pricing engineers, and drive process improvements.

Design, build and deploy machine learning models and novel telematics-based features to predict claims, fraud and risk KPIs. Collaborate with ML Engineers to productionize and monitor models, present findings to commercial and operational stakeholders, and contribute to team best practices and technology exploration.

The Product Manager will lead product development, enhance customer experience, manage the product backlog, and explore innovative marketing strategies in telematics.

As a Data Scientist, you will develop ML models for predicting claims and risk, deploy solutions, monitor performance, and present insights.

Lead a team of Risk Pricing Analysts to improve risk pricing models, integrate new data and techniques, run pricing projects, develop pricing tools, coach analysts, and ensure fair customer outcomes and regulatory training compliance.

Lead commercial execution for third-party claims, driving data-led trading improvements, managing supplier contracts and commercial performance, mitigating risk, and coaching junior team members to optimise indemnity spend.

Join the Group Actuarial Function to estimate future claims for Motor and Household portfolios. Support monthly and quarterly reserving analyses, maintain claims development triangles, estimate IBNR and ultimate claims using Chain Ladder and Bornhuetter-Ferguson, analyze trends with large datasets via SQL, build and maintain reserving models, develop Python tooling and explore AI-enabled solutions, and support capital reporting while collaborating with Pricing, Underwriting, Claims, and Finance.

Manage group liquidity, daily cash positioning and forecasting; lead FX exposure management and hedging; oversee funding, facilities and intercompany arrangements; drive TMS design and delivery; lead treasury transformation, automation, cash forecasting and analytics while maintaining strong controls and auditability.