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Tier-1 brand, common data-analyst role, and metro location increase applicant competition.
Actuarial and life-insurance domain knowledge and audit controls limit cross-industry transferability.
Explicit 1–3 year requirement plus technical and financial-services audit experience makes filtering moderately strict.
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Operate, maintain, and update data pipelines validating and transforming policyholder data for actuarial modeling and assumption setting.
Investigate and resolve data issues proactively or as raised by stakeholders, ensuring accuracy and quality of outputs.
Accountable for Model Points Data Production and Experience Analysis tasks with quality and timely delivery, supporting audit queries and continuous process improvement.
1-3 years of relevant Data Analytics experience; Financial services experience preferred.
Proficiency in data analysis tools including Excel (advanced), Power BI, Python (or Python/PySpark); experience with data validation and governance.
Bachelor’s or Master’s Degree; Data Analyst Certifications advantageous.
Work Experience Required: 1-3 years related experience; Notice period: Not explicitly mentioned in the JD.
Experienced in actuarial policyholder data context or financial services data analytics, ideally with UK Life Insurance exposure.
Strong analytical skills with focus on data quality, validation, documentation, and audit readiness in controlled environments.
Able to manage own workload adhering to defined processes, collaborating across teams, and communicating complex data findings clearly to technical and non-technical audiences.