Role Summary
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Actuarial Data Scientist role focused on life insurance product development and pricing. You will build ML and statistical models for experience studies, reserve forecasting, and assumption setting, and productionize solutions in collaboration with IT and business partners. Hybrid role based in the US (referenced salary location Boston, MA; hiring location listed as Perry County, OH).
JOB DESCRIPTION SUMMARY
- Develop ML and statistical models for experience studies and reserve forecasting
- Translate analytics into assumption setting and product/pricing recommendations
- Productionize models through collaboration with IT and operations
- Hybrid working arrangement (company tags #LI-Hybrid)
- Requires strong Python programming; MATLAB, R, SQL are beneficial
DOMAIN EXPERTISE
- Life insurance product development or pricing
- Experience studies and reserve forecasting
- Assumption setting and risk modeling
- Python for data analysis and production-quality code
KEY REQUIREMENTS
- Experience in life insurance product development or pricing
- Bachelor’s or advanced degree in a quantitative field
- Strong Python skills for data analysis and production-quality code
- Experience with experience studies, reserve forecasting, and risk modeling
- Ability to analyze large, complex actuarial and financial datasets
TECH STACK
- No tech stack specified
