Webinar: 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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Webinar: 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 joined Akur8 as an Actuarial Data Scientist in 2023. He works with clients to ensure they get the most out of Akur8's transparent machine learning software. This ranges from actuarial modeling advice to collaborating on how an insurer can get the most out of their data. Before this, Max worked in various actuarial and data science roles at Allstate for nearly 8 years. He has worked on auto, property and specialty lines with a broad scope of projects. These ranged from traditional actuarial indications to price optimization to cutting-edge high-fidelity telematics models. His work spanned from production grade models to rapid research models to further Allstate's pricing sophistication with extensive use of GLMs, GLMnets, GBMs and Bayesian GLMs.

Thomas Holmes
Tom Holmes is Akur8’s Chief Actuary for the US region and is a co-author of the upcoming publication 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.