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 es Chief Actuarial Officer de Akur8 y coautor de la **Monografía 13 de la CAS: Penalized Regression and Lasso Credibility**. Cuenta con experiencia en la modelización de seguros personales y comerciales y colabora como voluntario con la CAS en temas relacionados con la modelización predictiva. Participa habitualmente como ponente en eventos de la CAS y webinars de Akur8, y trabaja con profesionales del sector para compartir metodologías y buenas prácticas en modelización actuarial. Tom es Fellow de la CAS y tiene títulos en música por la University of Michigan y Ohio University.
