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Mid-level generalist data role, metro location, and varied skillset increases candidate competition.
Core data skills are transferable but actuarial/UK life experience raises domain specificity.
Explicit 1-4 year requirement and technical/data tooling expectations create moderate shortlisting rigidity.
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Operate, maintain, and update data pipelines that validate, transform, and enrich policyholder data used in actuarial modelling and assumption setting.
Investigate and resolve data issues proactively and respond to stakeholder queries, ensuring data integrity and quality standards are met.
Accountable for Model Points Data Production and Experience Analysis tasks, delivering outputs within agreed timelines and quality standards.
1-4 years of relevant Data Analytics experience.
Bachelor’s or Master’s Degree required.
Proficiency in Excel (advanced), Power BI, Python and data analysis tools; knowledge of data governance and validation practices mandatory.
Experience supporting internal/external audits and maintaining documentation for operational resilience.
Experience within Financial Services, preferably UK Life Insurance or similar heavily audited domain.
Strong analytical skills with ability to translate complex data into actionable insights and clear communications.
Capable of working within defined processes and frameworks, managing workload independently while delivering high-quality, compliant outputs.