Description: Exploring how artificial intelligence can enable insurance to expand into new places with new insights.

Description: April 15, 2024, Chicago, IL - The Society of Actuaries (SOA) and the Casualty Actuarial Society (CAS) announce a new jointly-sponsored exam reimbursement program. The new Actuarial Exam Support Program, based on qualifications of need, is available to candidates as of May 1, 2024.

Description: View the Quarterly Global Warming Report Excel Document.

Description: View and fill out the July 2024 Probability (P) Exam Computer-Based Testing application form.

Description: Review the passing candidate list by number for SOA’s February 2024 administration of exam FM.

Description: The chairperson for the marketing and distribution section discusses the section welcome call and outline future topics and themes for the year head.

Description: How do we take a Minimum Viable Products (MVP) approach to launch new insurance products? Join this moderated discussion and focus on three key development aspects: Distribution, Systems, and the design and pricing of the Insurance product itself. Come discuss reasons to choose an MVP approach and how it solves many of the product launch challenges.

Description: Actuaries are increasingly being asked to incorporate Economic Scenario Generators into their work. Whether it be a Risk Neutral model for pricing or a Real-World version for Economic Capital modelling, using these tools can help produce a much more robust analysis. Unfortunately, these models and their underpinnings are also very complicated, which can lead to confusion. Come watch the presenters try to demystify some of this. In particular, they will address the following questions: • What is the difference between Real-World and Risk Neutral scenarios? • When should I use one or the other? • How are these models calibrated? • What are some of the misconceptions about these models? At the conclusion of the session, attendees will be able to: • Explain the difference between Real-World and a Risk Neutral scenarios • Understand the appropriate usage of both • Identify some of the calibration questions that go into developing an appropriate set of scenarios • Avoid some of the common misconceptions about these scenarios

Description: This report provides insights into statistical methods for imputing race and ethnicity in the context of insurance industry disparities. It discusses various imputation techniques, performance metrics, and the evolution of methods over time. The aim is to address the lack of consistent data collection on race and ethnicity in insurance datasets.