Description: Actuaries today have unique opportunities to analyze, understand and use data for strategic decision making. With nearly unlimited computing power and a broad spectrum of data sources at our fingertips, we are enabled to support our actuarial judgment with comprehensive findings backed up by deep data analyses.

Description: It's your first full day of productive learning! Start it off right with a delicious breakfast and warm welcome.

Description: This essay collection examines how changing family dynamics shape retirement security, offering insights on demographic trends, policy design, and actuarial strategy—because retirement is the ultimate family affair.

Description: The February/March 2014 edition of The Actuary magazine—the Society of Actuaries’ flagship publication.

Description: The June/July 2014 edition of The Actuary magazine—the Society of Actuaries’ flagship publication.

Description: The April/May 2013 edition of The Actuary magazine—the Society of Actuaries’ flagship publication.

Description: Retrospective on the E&I council goals and accomplishments heading into the new SOA community model

Description: This article starts with the increasing attention that FP&A receives due to the implementation of new financial regimes and emphasizes the collaborative nature of FP&A. It then describes the roles that actuaries play in FP&A, the new demands for actuaries that we are observing, and suggests some best practices that we are seeing across the clients. This article targets to point out the new demands from FP&A on actuaries and provide some advice on how actuaries can do to meet these demands.

Description: Join us in this webinar where we explore the intricate relationship between Professional Employer Organizations (PEOs) and insurance, diving into the art of risk management within this industry. Gain a comprehensive understanding of the diverse insurance products offered by PEOs, the positioning of PEOs in the actuarial landscape, and the strategic navigation of regulatory challenges.

Description: This publication presents an exploratory framework that applies volatility signals—specifically the VIX and MOVE indices—to asset allocation decisions. Rather than prescribing a definitive model, the work highlights a potential pathway for linking equity and bond market risk expectations to portfolio construction. The analysis demonstrates how relative volatility between asset classes can inform dynamic weighting, opening the door to more adaptive strategies in shifting market environments. Importantly, this is not intended as a finished methodology, but as a foundation on which more experienced professionals can build. Readers with advanced backgrounds in finance, risk management, or quantitative analysis are encouraged to refine, stress-test, and extend the framework to suit their own investment contexts. By positioning the concept as a starting point rather than a conclusion, the publication invites collaboration and deeper exploration into how volatility-based metrics may enhance long-term allocation models.