Job Title: VP, Chief Actuary
Company: Quincy Mutual Group
Todd Lehmann is the Chief Actuary and Vice President at Quincy Mutual Fire Insurance Company, with 25 years of actuarial experience. Prior to joining Quincy Mutual in May 2016, he spent 9 years as Vice President of Corporate Research and Analytics at One Beacon Insurance Group, focusing on predictive models for specialty commercial lines for ratemaking segmentation, profitability, reserving, and claim analysis. Todd began his career at State Farm in 1992, where he worked in pricing, and he also has worked in actuarial and product management roles at Allstate and Liberty Mutual.
In addition to predictive modeling and analytics, Todd’s background includes ratemaking and pricing analyses for personal and commercial lines, loss reserving analyses, enterprise risk management, economic capital modeling, catastrophe modeling, underwriting, and product development.
Todd graduated from the University of Illinois, Urbana-Champaign with a bachelor’s degree in Finance. He is a Fellow of the Casualty Actuarial Society (FCAS), a Certified Specialist in Predictive Analytics (CSPA), a Chartered Property-Casualty Underwriter (CPCU), and a Member of the American Academy of Actuaries (MAAA). He chaired the Casualty Actuarial Society Committee on Ratemaking from 2008-2011, has served on the CAS Exam and Syllabus Committees, and currently chairs The CAS Institute (iCAS) Expert Panel on Predictive Analytics and participates on The CAS Institute’s Leadership Advisory Council.
Understand the composition of skills needed in your team to effectively communicate value of data analytics exercises to the business, driving adoption in the process. Lack of action isn’t always a lack of technical skill but of communication. Ensuring that business and non-technical users have information in a way that it can be used. Empowering… Read more.
Evolving the traditional means for underwriting and embracing a technological, data-driven approach for greater granularity. Examine how to position actuaries and data scientists to optimize underwriting activities. Opportunities for predictive and prescriptive analytics to better improve efficiency and effectiveness of underwriting operations.
Competing with tech firms for top talent is expensive and unrealistic, how do you offer talent projects that make them want to stay? Building relationships with top colleges to bring analytics talent through with experience of newest technology. Developing the relationship between the business end users and the data science professionals – bridging the gap… Read more.
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