Top Tech Jobs & Startup Jobs in London

Lead exposure management reporting for AXIS Managing Agency syndicates, including Lloyd’s regulatory returns, catastrophe risk MI, portfolio movement analysis, and accumulation reporting. Support reinsurance purchasing, catastrophe capital assessments, internal model inputs, event response, and model completeness reviews. Collaborate with actuarial, risk, underwriting, developers, software providers, Lloyd’s, and senior stakeholders. The role requires catastrophe modeling knowledge, Nat Cat expertise, Excel and SQL proficiency, and strong analytical and communication skills.

Leads operational support for production AI solutions, including monitoring, incident management, defect remediation, enhancements, deployments, governance, and performance evaluation. Coordinates internal teams and third-party AI engineers, maintains support processes and documentation, and monitors reliability, accuracy, drift, bias, fairness, cost, and business value. Partners with data, technology, governance, and business stakeholders to ensure AI solutions remain stable, compliant, effective, and aligned with evolving needs.

Develop and maintain actuarial pricing, reinsurance, modelling, and exposure management applications. Implement actuarial methodologies and algorithms, gather requirements, support testing, document solutions, and provide user training. Collaborate with actuaries, exposure managers, IT professionals, and global agile development teams to deliver scalable systems and innovative capabilities.

Lead development of reserving analytics by building dashboards, datasets, and self-service tools to surface trends and drivers. Partner with Reserving, Actuarial, Finance, Claims, Underwriting, and Data & Analytics to improve data quality, reduce manual work, promote responsible AI use, and present clear visualizations and governed metrics to support reserving decisions and senior stakeholders.

Lead the scientific approach for AI/ML solutions using LLMs and agentic systems: frame business problems, design models and evaluations, build and review production-grade code, own evaluation/monitoring, and drive responsible AI, standards, and mentorship across the team.

Lead end-to-end pricing for complex, multi-class insurance portfolios. Partner with underwriters to design and optimise portfolio structures, assess pricing adequacy, monitor portfolio performance, develop benchmarks and pricing tools, derive expected loss ratios for planning, and mentor junior actuaries. Provide clear recommendations on deal structure, pricing, and capital efficiency while supporting governance and cross-functional collaboration.

Partner with business stakeholders and technical teams to define, monitor, and improve data quality across insurance systems. Translate requirements into validation rules, run profiling and anomaly detection, produce dashboards, support remediation, and embed data quality checks into processes and projects to support a new data platform.