Top Tech Jobs & Startup Jobs in London

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.

Supports pricing of portfolio insurance deals across the lifecycle by preparing data, running models, reviewing outputs, evaluating deal structures, and identifying sensitivities. Performs portfolio monitoring, maintains benchmarks and metrics, develops pricing assumptions and expected loss ratios, and contributes to pricing tools, business planning, and cross-functional initiatives. Provides informal guidance to junior analysts and collaborates with underwriting, reserving, capital modelling, finance, and analytics teams.

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.

Leads corporate FP&A business partnering, expense management, budgeting, forecasting, long-range planning, and scenario modeling for senior executives. Owns the Anaplan Workforce model, translates financial performance into strategic recommendations, improves reporting and planning processes, strengthens data governance and controls, and automates workflows using AI and reporting tools. Supervises and coaches a small team while advising leaders across corporate functions, reinsurance, and ACS.

Lead handling of professional indemnity and other liability claims from first notice to settlement. Manage reserves, coverage analysis, resolution strategy, TPAs and external counsel, liaise with underwriters, brokers and clients, and contribute to claims MI and performance projects.

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.

Senior in-house lawyer providing transactional legal support for complex, cross-border insurance-backed credit, aircraft and project finance, and structured finance transactions. Drafts and negotiates policies, guarantees and security/funding documents; advises on enforcement, insolvency, restructurings, claims, regulatory, tax and sanctions matters; manages external counsel; works closely with underwriting, portfolio and tax/compliance teams.

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.