The Art of the Rating Plan
Constructing effective rating plans is a nuanced process, encompassing considerations ranging from model integration, regulatory filings, to systems programming. This presentation aims to shed light on these vital aspects, while also venturing into less conventional concepts like overlays and separate rating for new business versus renewal business and other exotic ideas. Our discussion aims to offer comprehensive insights into the creation of successful rating plans, illuminating the intricacies of this critical process in the world of insurance and outlining the most desirable properties of a good rating plan.


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The Art of the Rating Plan
Constructing effective rating plans is a nuanced process, encompassing considerations ranging from model integration, regulatory filings, to systems programming. This presentation aims to shed light on these vital aspects, while also venturing into less conventional concepts like overlays and separate rating for new business versus renewal business and other exotic ideas. Our discussion aims to offer comprehensive insights into the creation of successful rating plans, illuminating the intricacies of this critical process in the world of insurance and outlining the most desirable properties of a good rating plan.



Learn more about the speakers

Max Martinelli
Max Martinelli is a Managing Director in the Insurance and Actuarial Advisory Services practice of EY, where he focuses on P&C pricing, actuarial data science, applied AI and external rating. He has over a decade of experience in actuarial and data science roles, primarily in predictive modeling for personal and commercial lines, and a background in machine learning and computational mathematics. A dedicated collaborator with the Casualty Actuarial Society, he co-designed and led the CAS AI Fast Track bootcamp and co-hosts Almost Nowhere, the CAS Institute podcast exploring AI and data science in insurance.

Thomas Holmes
Tom Holmes is Akur8’s Chief Actuary for the US region and is a co-author of the CAS Monograph 13: Penalized Regression and Lasso Credibility. He has experience modeling personal and commercial insurance, and volunteers with the CAS on predictive modeling topics. He is a frequent presenter at CAS events and Akur8 webinars, and performs industry outreach to share actuarial modeling methodologies and best practices. Tom is a Fellow of the CAS and holds music degrees from the University of Michigan and Ohio University.