Description: Article describes how to write effective model documentation

Description: This article contains best practices on actuarial modeling based on the author's personal experiences and provides useful advice for actuaries to consider in their daily work.

Description: A brief introduction to a new SOA research on liability-driven investment benchmark model.

Description: On October 4–5, 2025, actuarial educators and researchers gathered in New Orleans for the Actuarial Mathematics and Actuarial Education Special Session at the American Mathematical Society (AMS) Fall Southeastern Sectional Meeting. The event brought together seventeen speakers from universities, professional societies, and industry to discuss the future of actuarial education, practical applications of actuarial methods, and advances in actuarial modeling. The session featured rich discussions on artificial intelligence in actuarial education, experiential learning through case studies, competency-based assessments, and industry-integrated research courses. Applications-focused talks addressed mortality shocks from COVID-19, disaster aid modeling, queuing systems, health and longevity metrics, healthcare reserving, flood risk in real estate, and value-based insurance contracts. The final segment highlighted advanced actuarial models, including optimal insurance with incentives, variable annuity hedging, extreme risk inference, AutoML for insurance, and privacy-preserving data collaboration. Overall, the session emphasized collaboration, innovation, and adaptability as essential for advancing actuarial science in an era of rapid technological and societal change.

Description: Article describing content and key takeaways from experience completing the SOA PA Certificate

Description: An overview of the articles in the November 2019 issue of The Modeling Platform, and a plea for submissions! Please! Send us articles!

Description: A brief introduction to a new SOA research on liability-driven investment benchmark model.

Description: In this article, the interviewers will discuss the pros and cons of centralized modeling function vs a business unit based modeling function. Their experience will help us in identifying factors in contributing to a successful centralized model function and understand how to set expectation with modeling stakeholders.