Manager - Methodology & Assumption (M&A) Actuarial Policyholder Data Team
Core
Operate, maintain, and update data pipelines for validating, transforming, and enriching policyholder data used in actuarial modelling and assumption setting.
Role type
Manager, Data Analytics & Actuarial Data Operations
Builds
Data pipelines for actuarial modelling and assumption setting
Domain
Insurance (Life) / Actuarial Modelling / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data analysis, Data governance, Data quality validation, SQL, Python, Advanced Excel, Power BI, Process documentation, Audit support
Preferred skills
Databricks, Spark, PySpark, UK Life Insurance experience, Financial Services audit experience
Technologies
Excel, Power BI, Python, SQL, Databricks, Spark
Responsibilities
Ensure data integrity through validation and quality checks; Collaborate with stakeholders to translate requirements into transformation logic; Support internal and external audit queries; Apply data analysis techniques to resolve user queries; Maintain process documentation and data dictionaries; Produce reports and visualizations for business decisions.
Seniority
Manager, hands-on IC with team support