Love ’em or hate ’em, risk scores from predictive models are becoming more widely used in life insurance risk assessment. Actuaries and data scientists are comfortable in the realm of correlation, while underwriters tend to prefer known causalities, so the “black box” model and its “unintuitive” results don’t always sit so well with them. Is it possible to become a believer?
Actuary Sue Bartholf will explain how risk scores work and why they are becoming indispensable underwriting tools. Then underwriting consultant Doreen Acampora will moderate a panel of underwriters at various stages of risk score acceptance. They’ll discuss how they use predictive models in their workflows, where they find value from them, and how they reconcile seemingly incompatible scores and applicant records.
Doreen Acampora, FALU, FLMI, CLU, ChFC, Underwriting Consultant, Millman IntelliScriptSue Bartholf, FSA, MAAA, Director and Product Actuary, Milliman IntelliScriptDan Brown, FALU, FLMI, AIRC, AIAA, ARA, ACS, VP - Chief Underwriter, Baltimore LifeBrian Bonti, FALU, FLMI, MBA, Life Underwriting Strategy Manager, American Family InsuracnceFelicia McElhaney, FLMI, AALU, ACS, Chief Underwriting Officer and Director of Claims, Dayforward Life Ins. Co.
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