Data Actuary
Main mission
Models insurance and financial risks from data.
5 key responsibilities
- Model insurance risks: claims, mortality, catastrophes.
- Price products by integrating new data sources.
- Apply ML to actuarial models within regulatory frameworks.
- Validate and document models for authorities.
- Inform underwriting and provisioning decisions.
Key skills
Actuarial science, statistics, ML, regulation (Solvency II), Python/R.
What's expected
Risks accurately assessed and priced: actuarial science enters the era of big data.
Career paths
Senior Actuary, Chief Actuary, Data Science Leader in Insurance.
Openings right now
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