Description: An overview of John Robinson's experience at the recently concluded annual meeting of the Caribbean Actuarial Association in Trinidad.

Description: In this article, industry experts who have gone through the journey of establishing and executing a mature actuarial model risk management function share their tips and tricks through three case studies that convey commonly faced issues

Description: Interview with new incoming Chair of the Reinsurance Section

Description: A compilation of reader responses is presented to a real life situation posed involving a management, leadership, or other business decision. This issue’s case study involved a career decision by a near FSA.

Description: As a dynamic entrepreneur, the question is not if you’ll need to prepare for high-stakes, emotionally charged conversations, but when you will have them. If you’re looking toward a business conversation where you want the outcome to be positive-oriented and forward-looking, there is some risk involved. It is worth your time to prepare and differentiate yourself before any words are spoken. Risk, in this situation, means that it could negatively or positively impact one or more of the following: Relationships, business outcomes, timing/efficiency, quality metrics, performance, or more. There is a literal cost to this kind of conversation going wrong! In this article, Libby Wagner shows actuarial entrepreneurs how to hold tough conversations that demonstrate respect and bring about the results they want.

Description: The SOA, in collaboration with CSU-Fullerton, hosted the first event combining local high school students and community college and university students for a day of learning and networking.

Description: This article provides information on the 2025 SOA Health Meeting, including how to submit a proposal, key dates, and other relevant information.

Description: Actuary of the Future Chairperson's corner. The article celebrates success of the section in 2023 and describes the 2024 goals and objectives.

Description: Actuaries are leveraging predictive modeling and machine learning more and more as they strive to provide greater value to their stakeholders. Actuarial standards of practice provide guidance around modeling and data. The world has changed significantly over the last few years, so it is important these models be tested for fairness as well as any statistical biases. This article addresses some of the key issues actuaries need to be aware of as Corporations and society work through the responsible us of this technology and underlying data.

Description: Latest installment in a series covering the application of Buddhist principles to the actuarial work setting. This installment covers the challenges actuaries face in dealing with unfamiliar and uncertain assignments. It provides both encouragement that actuaries are more capable and multi-faceted in their skill sets and offers suggestions taken from the meditation cushion and yoga mat to aid in tapping into those capabilities.