Actuarial Data Scientist
HybridNot SpecifiedExperience StudiesReserving & ValuationPredictive Modelling & ML
Role Summary
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Life actuarial data scientist role in Boston focused on life insurance product development and pricing. You'll build statistical and machine-learning models for experience studies, reserve forecasting, assumption setting, and risk modeling, and help productionize analytics across actuarial, product, and technology teams. Hybrid role based in Boston, MA.
JOB DESCRIPTION SUMMARY
- Develop models for experience studies, reserve forecasting, and risk assessment
- Apply advanced statistical and machine-learning techniques to actuarial data
- Productionize models in collaboration with IT and business stakeholders
- Work on life insurance product development and pricing
- Hybrid role based in Boston, MA
DOMAIN EXPERTISE
- Life insurance product development or pricing
- Experience with large, complex actuarial and financial datasets
- Strong Python experience for data analysis and production code
- Experience developing models for experience studies and reserving
KEY REQUIREMENTS
- Experience in life insurance product development or pricing
- Bachelor's or advanced degree in a quantitative field required
- Strong Python skills for data analysis and production-quality code
- Experience analyzing large, complex actuarial and financial datasets
- Familiarity with R or SQL and MATLAB is beneficial
TECH STACK
- No tech stack specified
