Selecting and Applying Exposure Bases for Less-Obvious Cases
This session offers a practical guide to selecting and applying exposure bases in situations where the choice isn't straightforward. Drawing on special use cases across auto, telematics, home, and specialty lines, we look at where selecting and applying exposures requires extra consideration - for example, when the preferred exposure base isn't available, or when there's an abundance of exposure data to choose from.
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Selecting and Applying Exposure Bases for Less-Obvious Cases
This session offers a practical guide to selecting and applying exposure bases in situations where the choice isn't straightforward. Drawing on special use cases across auto, telematics, home, and specialty lines, we look at where selecting and applying exposures requires extra consideration - for example, when the preferred exposure base isn't available, or when there's an abundance of exposure data to choose from.
Learn more about the speakers
Samuel Gifford
Samuel Gifford is an Actuarial Data Scientist at Akur8. He has extensive experience in actuarial and data science roles, particularly in predictive modeling, causal analytics, and demand modeling. He is currently finishing a PhD in economics at the University of Illinois Chicago concentrated in applied microeconomics. Sam has 4 years of teaching experience at the undergraduate and graduate level, primarily in econometrics.
Felix Go
Felix Go, FCAS, is an Actuarial Data Scientist at Akur8, where he works with clients to help them leverage models and build end-to-end pricing solutions to solve business problems. His background spans GBM-based pricing and telematics at Intact, and specialty lines pricing at Counterpart. He holds a Master's of Mathematics from the University of Waterloo.
