Senior Manager - Data Engineer- Methodology & Assumption (M&A) Actuarial Policyholder Data Team
Core
Design, build, and maintain scalable data pipelines to validate, transform, and enrich policyholder data for actuarial modelling and assumption setting within the M&A Actuarial Policyholder Data Team.
Role type
Senior Manager, Data Engineer (Actuarial Data)
Builds
Data pipelines for actuarial input data validation and transformation
Domain
Financial Services / Insurance / Actuarial Modelling
Deliverable
production ML models | product features
Required skills
Data pipeline design, data transformation, data validation, SQL, data modelling, data governance, large dataset processing, Excel (advanced), Power BI, Python, PySpark (via careerplan.io/jobs/R20037-senior-manager-data-engineer-methodology-assumption-ma-actuarial-policyholder-data-team-at)
Preferred skills
Azure Databricks, Spark, Spark SQL
Responsibilities
Design and maintain scalable data pipelines for actuarial data; implement checks and controls for data accuracy and completeness; monitor and optimize data performance; resolve data exceptions with suppliers and users; maintain runbooks, data dictionaries, and operational procedures; collaborate with stakeholders to translate data needs into technical solutions.
Seniority
Senior Manager, hands-on IC with team support responsibilities