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Metro location and strong M&G brand increase applicants, but niche actuarial data skillset limits competition.
Actuarial and UK life insurance domain knowledge required reduces cross-industry transferability.
Explicit 1–3 years requirement plus mandatory Excel, Power BI/Python and audit-control experience creates moderate filtering.
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Operate, maintain, and update data pipelines validating and transforming policyholder data for actuarial modelling and assumption setting.
Investigate and resolve data issues proactively or as raised by stakeholders ensuring data integrity and quality.
Responsible for Model Points Data Production and Experience Analysis tasks with accountability for quality outputs and timely delivery.
1-3 years of relevant Data Analytics experience (depending on role level).
Bachelor’s or Master’s Degree; Data Analyst certifications are advantageous.
Proficiency with Excel (advanced), Power BI, and/or Python; knowledge of data governance and validation practices.
Work Experience Required: 1-3 years in data analytics, preferably in financial services or heavily audited environments.
Strong analytical skills with ability to translate data into actionable insights and produce reports and dashboards.
Experience in financial services data environments, familiarity with audit processes and producing audit evidence.
Able to work collaboratively within a team and manage workload effectively to deliver high-quality, accurate outputs.