Senior Manager - Data Analyst - Methodology & Assumption (M&A) Actuarial Policyholder Data Team
M&G plc (company site, opens in a new tab)6–10 yrsMumbaiOn-siteDirect career pageEst. 18–30 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Operate and maintain data pipelines that validate, transform, and enrich policyholder data for actuarial modelling and assumption setting.
- Investigate and resolve data issues proactively and respond to stakeholder queries using strong data analysis skills.
- Produce reports, maintain documentation, ensure data governance, and support audit queries to uphold data integrity and compliance.
Minimum Requirements
- 6-10 years of relevant Data Analytics experience, preferably in Financial Services or a closely related field.
- Bachelor’s Degree or Master’s Degree required.
- Proficiency in Excel (advanced skills with formulas, pivot tables, Power Query), Power BI, Python/PySpark; knowledge of data pipelines including validation, transformation, and enrichment.
- Experience working in a heavily audited environment with understanding of operating controls and audit evidence production.
Ideal Candidate Profile
- Experience with financial services data, specifically UK Life Insurance is a plus but not mandatory.
- Strong analytical capabilities with ability to communicate complex information clearly to technical and non-technical audiences.
- Capable of working independently within defined frameworks, managing workload effectively, and improving data processes continuously.