Description: The author is a recent FSA (2018). As a career changer from academia with no actuarial exposure prior to attempting the first exam at almost 30, the author offers a compelling set of insights gained through his CERA and FSA qualification processes. The advice presented not only covers exam tips helpful for candidates at all levels, but also provides perspective for those who are considering the rewarding career path of being an actuary.

Description: Chart for individuals to view which section(s) best corresponds with their specific practice area.

Description: This is a biography of Richard S. Foster, FSA, MAAA, Chief Actuary for the Centers for Medicare & Medicaid Services, and a presenter at the SOA 2011 Health Meeting.

Description: Actuarial work in the life and health insurance industry is highly data-driven and complex. Actuaries perform a wide range of tasks such as experience studies, valuation, reserving, pricing, and risk modeling, all of which require vast amounts of data and sophisticated analytics. Traditionally, many of these tasks have been carried out using Excel and other legacy tools, but as data volumes grow and the need for more accurate predictions intensifies, actuaries are turning to more robust platforms. Cloud Data & Artificial Intelligence (AI) Platforms, such as t Databricks offer a unified platform that integrates data management, analytics, and machine learning, making it a powerful tool for actuaries. In this article, we’ll explore how Cloud Data & AI platforms can be used as an actuarial workbench, enabling actuaries in the life and health sector to streamline critical tasks like experience studies, valuation, and reserving.

Description: Practical application of Marine Corps leadership in a corporate setting. This article covers the objectives of Marine Corps Leadership and 14 leadership traits identified by the Corps and how they relate to an actuarial setting.

Description: An update on the activities of the JRMS

Description: This article outlines Georgia State University’s (GSU) innovative approach to actuarial science education in response to the evolving demands of the profession, including data science, AI, and climate risk. It highlights a comprehensive pipeline that supports students from early career exploration through high school outreach, into personalized undergraduate academic paths, and onto professional readiness. Key features include project-based learning integrated into core actuarial courses, hands-on technical training in R and Python, and industry-aligned case studies.

Description: The Actuarial Teaching Conference (ATC) provides an opportunity for all faculty members engaged in actuarial teaching to come together, participate in learning sessions, share ideas, network with each other and learn more about the actuarial profession.

Description: We explore the question of how an actuary–artificial intelligence collaboration might look in the future and how actuaries should be trained to best leverage this technology. It felt fitting to accomplish this through a conversation with an AI system, as AI involvement is warranted to ground the analysis in the technology’s true capabilities.