SOA Webinars
Predictive Analytics: The New Way to Forecast Mortality
The presenters will review investment trends, drivers, data sources and uses of predictive analytics and how it is transforming the life underwriting process. They will zero in on data being used (client + 3rd party), technology infrastructure requirements and modeling approaches. They will cover: predicting underwriting outcomes, building a mortality model, using the mortality model to stratify risk and predict risk classes.
At the conclusion of the webcast, attendees will:
• Be aware of the depth and breadth of predictive modeling across large and medium sized companies and the forces driving this new way to predict mortality outcomes
• Have an understanding of how a predictive-model based strategy starts with outcomes and uses modeling techniques to identify data characteristics most likely to produce those outcomes
• See that predictive analytics is not limited by what is already known and may discover new predictors of mortality
Kimberly M. Steiner, FSA, MAAA (Moderator)
Senior Director, Willis Towers Watson
Kim Steiner, FSA, MAAA, is a Director and leads the analytics and experience analysis initiatives of the Willis Towers Watson America’s life practice. She has led client assignments across a broad range of assumption setting, predictive modeling, principle-based reserving, reserve financing, M&A and financial modeling issues. Kim is one of the firm’s experts in several areas, including term insurance, principle-based reserving, mortality and COLI/BOLI products. Prior to joining Willis Towers Watson in 2008, Steiner worked as an actuary at Great-West Life and Annuity. She is a fellow of the Society of Actuaries and a member of the American Academy of Actuaries. She has written several articles and is a frequent speaker at industry meetings.