Actuarial Analyst, Experience Studies & Business Process Management
Core
Actuarial Analyst supporting experience studies, assumption reviews, and process transformation in life and health reinsurance using data analytics and AI.
Role type
Actuarial Analyst (IC)
Builds
Actuarial analytics workflows, experience study reports, and automated analytical solutions
Domain
Life and health reinsurance
Deliverable
production ML models
Required skills
Actuarial science, experience studies, statistical methods, Databricks, SQL, Python, PySpark, data validation, assumption setting, AI/ML application
Preferred skills
Credibility theory, advanced statistical techniques, LLM applications, RAG, workflow automation, process improvement methodologies
Technologies
Databricks, SQL, Python, PySpark, Delta Lake, Unity Catalog, MLflow
Responsibilities
Support life and health experience studies (mortality, morbidity, lapse, claims), perform data validation and exposure calculations, apply statistical techniques for assumption reviews, develop actuarial analytics workflows, investigate data quality issues, enhance actuarial tools and models, identify automation opportunities, support process improvement initiatives, assess AI/ML applications
Seniority
Mid-level, hands-on IC