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Work across analytics, engineering and product to design, build and maintain datasets, dashboards and data products. Provide applied analytics and statistical insight to stakeholders, ensure data governance and integrity, resolve data issues, document systems, increase automation, and evaluate tools to improve data storage and analysis.

The Senior Algorithm Engineer will develop machine learning-enabled products for underwriting, manage algorithm integrity, and enhance digital processes while mentoring junior team members.

Build and maintain production-grade data pipelines, design data models and infrastructure, enable API access, govern data assets, and collaborate with actuaries, data scientists, and engineers to support algorithmic underwriting and MLOps.

Support exposure management and risk aggregation processes by preparing, analyzing, and delivering aggregated and modeled exposure data. Assist regulatory reporting, syndicate roll-ups, analytics, automation of processes, and stakeholder reporting while collaborating with underwriting, actuarial, and capital modelling teams to monitor limits and inform risk decisions.

The Senior Full-Stack Engineer will build scalable web applications, design APIs, mentor team members, and ensure high-quality software development following agile methodologies.

The algorithm engineer will develop machine learning products for underwriting risk assessment, ensure algorithm availability, and guide junior team members.

Lead corporate actuarial activities including business planning, performance monitoring, and portfolio optimisation. Provide actuarial insight for pricing, reserving and strategy, develop tools and frameworks, collaborate with underwriting, risk and finance, ensure governance and compliance, and manage and develop a team.

Support the People Team across People Analytics, Reward, People Operations and Learning & Development. Maintain employee data, build reports and dashboards, assist onboarding, payroll administration, benefits tasks, and coordinate training while completing a Level 3 Data Citizen Apprenticeship.

Lead and grow engineering teams building a broker platform. Drive technical strategy, deliver microservice-based features, advocate Agile/Lean practices, recruit talent, measure team impact, and collaborate with senior stakeholders and CTO on architecture and infrastructure.

Provide hands-on support for a broad set of SaaS and COTS applications in the insurance domain: troubleshoot incidents, coordinate cross-team fixes, perform maintenance and monitoring, conduct RCA, maintain documentation, and train end users to ensure stable application operations.