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Python for Actuaries

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Contributors

  • John Bogaardt

    John Bogaardt currently serves as VP, Actuary and Business Intelligence for WCF Insurance. In this role John is responsible for setting and executing the business intelligence and actuarial analytic strategy for the company. The unique blend of actuarial responsibilities with those of business intelligence allow him substantially more work with the Python language than is typical of most actuaries. John has built a variety of predictive models in Python for WCF. Prior to WCF Insurance, John served as the Chief Pricing Actuary of Business Insurance for Farmers Insurance Group. There he oversaw the actuarial ratemaking process as well as the predictive modeling efforts for Farmers’ commercial lines of business. John holds a B.S. in mathematics from the University of California, Los Angeles. He is a Fellow of the Casualty Actuarial Society and Member of the American Academy of Actuaries.

  • Brian Fannin

    Brian Fannin has been an actuary for over 20 years. The data lack sufficient credibility for him to give a more precise estimate. Brian has been an Associate of the CAS since 2002 and a Certified Specialist in Predictive Analytics (CSPA) since 2017. He has worked in a variety of roles in commercial insurance, both primary and excess, here in the US as well as Europe, London and Asia. An early proponent of R, he has taught various workshops and seminars for the CAS, Actex and insurance clients. He joined the staff of the CAS in March of 2018 as Research Actuary. His focus it to enable CAS committees and research partners to work efficiently in developing relevant, practical content.

February 6, 2020
Thu 12:00 PM EST

Duration 1H 30M

This live web event has ended.