Role Summary

HIGHLIGHTS

Associate Data Science Actuary (Life) focused on mortality and longevity assumption development for reinsurance. You will build and maintain predictive mortality models, support pricing with data-driven assumptions, and collaborate with data scientists and pricing teams. Role is hybrid at RGA HQ in St. Louis, MO with remote options.

JOB DESCRIPTION SUMMARY

Develop end-to-end mortality models and assumption frameworks for longevity markets
Support pricing with data-driven insights and bespoke assumptions
Use R or Python plus SQL/Snowflake to analyze very large datasets
Hybrid role at RGA HQ in St. Louis, MO or open to remote
Requires an FSA and 6+ years actuarial experience in life/reinsurance/pensions

DOMAIN EXPERTISE

mortality and longevity assumption development
life insurance / reinsurance / pension risk transfer experience
statistical modeling for insurance (regression, trees, time series)

KEY REQUIREMENTS

FSA accreditation or equivalent required
6+ years actuarial experience in life insurance, reinsurance, or pension risk transfer
2+ years on-the-job statistical modeling experience for insurance
Proficiency in R or Python and SQL (Snowflake/Oracle) and Excel/VBA
Bachelor's degree in a quantitative discipline required

TECH STACK

Excel
Jupyter_Notebook
Snowflake
Oracle
PowerPoint

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Develop end-to-end mortality models and assumption frameworks for longevity markets
Support pricing with data-driven insights and bespoke assumptions
Use R or Python plus SQL/Snowflake to analyze very large datasets
Hybrid role at RGA HQ in St. Louis, MO or open to remote
Requires an FSA and 6+ years actuarial experience in life/reinsurance/pensions

DOMAIN EXPERTISE

mortality and longevity assumption development
life insurance / reinsurance / pension risk transfer experience
statistical modeling for insurance (regression, trees, time series)

KEY REQUIREMENTS

FSA accreditation or equivalent required
6+ years actuarial experience in life insurance, reinsurance, or pension risk transfer
2+ years on-the-job statistical modeling experience for insurance
Proficiency in R or Python and SQL (Snowflake/Oracle) and Excel/VBA
Bachelor's degree in a quantitative discipline required