Analyze emerging mortality, persistency, and other experience required to meet organizational needs; Analyze product, underwriting, or other company information for any influences on mortality and lapses from a historical or prospective perspective; Work across the organization to understand drivers of the experience and enhance analytical capabilities, including enhancing the use of predictive analytics, data science, or other statistical analysis; Maintain or develop tools to support the periodic monitoring and tracking of relevant industry and population data; Support the development of best estimate assumptions by providing analysis, insights, and recommendations around the assumptions, their development process, and documenting justification for the updates and any judgment used in the assumption development
Requirements:
Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Data Analytics, Finance, Economics, or related area; Fellowship in the Society of Actuaries with current CPD compliance preferred; Career ASAs considered; At least 5 years of actuarial experience involving individual life insurance. Preferred areas of experience are mortality and lapse studies, or pricing (with reinsurance experience preferred); Strong written and oral communication skills; The ability to work independently as well as in a group setting with readiness to travel on occasion; Experience working with database software, such as SQL or MS Access
Text:
Director, Actuary - Experience Analysis Analyze emerging mortality, persistency, and other experience required to meet organizational needs; Analyze product, underwriting, or other company information for any influences on mortality and lapses from a historical or prospective perspective; Work across the organization to understand drivers of the experience and enhance analytical capabilities, including enhancing the use of predictive analytics, data science, or other statistical analysis; Maintain or develop tools to support the periodic monitoring and tracking of relevant industry and population data; Support the development of best estimate assumptions by providing analysis, insights, and recommendations around the assumptions, their development process, and documenting justification for the updates and any judgment used in the assumption development Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Data Analytics, Finance, Economics, or related area; Fellowship in the Society of Actuaries with current CPD compliance preferred; Career ASAs considered; At least 5 years of actuarial experience involving individual life insurance. Preferred areas of experience are mortality and lapse studies, or pricing (with reinsurance experience preferred); Strong written and oral communication skills; The ability to work independently as well as in a group setting with readiness to travel on occasion; Experience working with database software, such as SQL or MS Access
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