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Overview and Practical Applications of Machine Learning Methods in Pricing - Part 2

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Contributors

  • Ben Williams

    Ben is a director with Insurance Consulting and Technology, and the Regional Product Leader for Willis Towers Watson’s Pricing, Product, Claims and Underwriting practice for the Americas. He is based in the New York office. His background is in P&C pricing, and he is a specialist in predictive modeling and applications. He is a frequent speaker at conferences on predictive modeling and applications, and has authored several articles on these topics. Prior to joining the New York office, Ben consulted for Willis Towers Watson in Madrid, Spain. Before then, Ben worked for Liberty and Allianz in Europe, in internal consulting roles aimed at establishing best practices in pricing and underwriting across those groups.

  • Graham Wright

    Graham is a senior director at Willis Towers Watson with over 12 years of experience working mainly in the UK personal lines market where he leads Willis Towers Watson’s UK P&C Personal Lines Pricing practice, within the Pricing, Product, Claims and Underwriting division Graham’s particular areas of expertise include personal lines pricing, data, underwriting and distribution best practice, and claims reserving. He has led multiple client projects ranging across data and data enrichment, underwriting, technical pricing methods and approaches, retail pricing and price optimization. He continues to promote the ongoing development of analytics within pricing, as part of which he has led global projects around the world embedding machine leaning techniques within business as usual pricing. Graham has led a number of best practice pricing and underwriting reviews for personal lines clients and has a deep knowledge of the UK personal lines market, especially for motor and household lines.

February 27, 2020
Thu 12:00 PM EST

Duration 1H 30M

This live web event has ended.