data analyst in life actuarial

Vitality provides financial services, including life insurance and health insurance products. The VitalityLife Actuarial team supports data-driven business decisions through actuarial experience analysis, profitability analysis, trend analysis and capital requirements assessment.

• Support the ownership, maintenance and continuous development of actuarial data assets, including feature engineering processes and experience analysis models used across the Life business;
• Analyse lapse, claims, retention and business mix experience to identify trends, monitor performance and provide insights for strategic decision-making;
• Design, build, test and document data processes and analytical solutions for product launches, regulatory changes and business initiatives;
• Maintain, enhance and optimise actuarial models and data workflows;
• Develop scalable analytical solutions using R, Python and SQL;
• Collaborate with Actuarial, Data Science, Business Intelligence and Data Engineering teams to deliver data products and business insights;
• Identify opportunities to strengthen controls, improve governance and enhance Actuarial function processes through automation and continuous improvement;
• Support actuarial and business projects through analysis, testing, implementation activities and subject matter expertise;
• Prepare and communicate critical findings to stakeholders, translating complex data into actionable recommendations;
• Support audit and compliance requirements by maintaining documentation, evidencing controls and responding to stakeholder queries.

• Strong experience analysing complex datasets and translating findings into meaningful business insights;
• Proficiency in R, Python and SQL;
• Ability to build, maintain and enhance analytical models in a regulated or data-driven environment;
• Strong understanding of data quality, governance and control frameworks;
• Experience developing data processes, reporting solutions and scalable analytical outputs for business stakeholders;
• Excellent communication skills with the ability to present complex information clearly to technical and non-technical audiences;
• Strong problem-solving capability with a proactive approach to identifying improvements and delivering practical solutions;
• Ability to manage competing priorities in a fast-paced and evolving business environment;
• Experience working across multidisciplinary teams to deliver shared objectives;
• Degree-level qualification in Mathematics, Actuarial Science, Economics, Engineering, Computer Science or another quantitative discipline.

• Performance-based bonus scheme;
• Pension contributions matched up to 6% of salary, with a pension of up to 12%;
• Vitality health insurance with rewards and benefits;
• Life assurance of four times annual salary;
• Flexible working is available.