CAS Ratemaking, Product and Modeling Seminar 2024 🇺🇸
The Casualty Actuarial Society (CAS) Ratemaking, Product and Modeling Seminar (RPM) 2024 provides property-casualty insurance actuaries and consultants with the opportunity to earn continuing education credits while engaging in a variety of highly interactive sessions, and Akur8 is proud to attend this event. Executives from Akur8 will participate in 5 separate sessions during the event!
Our team will contact you with the event details.
You’ll be contacted back by our team to receive the invitation and the event details.
Learn more about the speakers
Thomas Holmes is the Chief Actuary for the US at Akur8. In this role, he works directly with clients providing modeling insights and best practices with Akur8's software. Additionally, he works with Akur8’s product development team to improve the software's functionality for the US region. Prior to Akur8, Thomas has worked in both traditional ratemaking and modeling roles. Thomas is a Fellow of the CAS.
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.
Mattia Casotto is the Head of Product for the United States division of the pricing software Akur8. He has more than 7 years of experience on predictive modeling in insurance and is one of the founding members of Akur8. He is one of the co-author of the white-paper ‘Credibility and Penalized Regression’.