Senior Analyst - Methodology & Assumption (M&A) Actuarial Policyholder Data Team
On-siteMumbai, Maharashtra, India
Job Summary
Operate, maintain, and update BAU data pipelines to validate, transform, and enrich policyholder data for actuarial modelling and assumption setting. Apply validation, quality checks, and governance standards to ensure data integrity, while investigating and resolving data issues raised by stakeholders or found pre-emptively. Collaborate with internal and external teams to translate data requirements into transformation logic and code, supporting audit queries with timely responses. Produce clear reports, dashboards, and visualizations to support business decisions, maintaining process documentation and data dictionaries. Deliver high-quality outputs with strong attention to detail, ensuring accuracy and compliance with agreed standards within defined timelines.
Required Qualifications
- Strong analytical capability with the ability to interpret and translate data into meaningful insights
- Proficiency in data analysis tools, reporting platforms, and structured query languages
- Understanding of data governance, data quality, and validation practices
- Ability to communicate complex information in a clear, structured, and engaging way
- Strong attention to detail and commitment to delivering accurate, high-quality work
- Collaborative approach, with the ability to build effective working relationships across teams
- Ability to prioritise tasks and manage workload effectively within defined processes
- Continuous improvement mindset
- Experience maintaining documentation, controls, and governance evidence to support auditability and operational resilience
- Experience using Excel, Power BI, and/or Python to analyse data, automate checks, and produce reports or dashboards
- Advanced Excel skills, including formulas, pivot tables, lookups, data validation, Power Query, and reconciliation techniques
- 1-3 years of relevant Data Analytics experience
- Bachelor's Degree / Master's Degree
Desired Qualifications
- UK Life Insurance experience
- Databricks, Spark, Spark SQL and Python/PySpark
- Experience working in Financial Services or a similar heavily audited environment with an understanding of operating controls and producing audit evidence
- Any Data Analyst Certifications
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