Abstract:
Recent decades have seen an explosion in the use and sophistication of statistical modeling in all industries. For example, generalized linear models (GLMs), a generalization of simple linear regression, are widely used in insurance. We will describe how these models are used in pricing personal auto and homeowners insurance. We will also provide information on statistical and actuarial careers at Travelers and in the insurance industry.
Bios:
Nathan Hubbell is a Second Vice President at Travelers Personal Insurance, Research & Development. He has been at Travelers for 8 years, working in variety of other areas including Transportation, Public Company Liability, and International insurance. Nathan graduated from St. Olaf College, where he majored in Mathematics and Molecular Biology. He is also a Fellow of the Casualty Actuarial Society.
John Renze is a Senior Statistician at Travelers, where he has spent the past four years in Personal Insurance, Research and Development. His focus has been on predictive modeling problems related to the use of credit history in personal insurance pricing and the refinement of Travelers' state-of the-industry homeowners insurance product. Prior to Travelers, John worked for Wolfram Research as a web programmer, doing content development and user interface design for websites such as MathWorld and WolframAlpha. John holds a PhD in mathematics from Northwestern University and is a Fellow of the Casualty Actuarial Society.