Description: This instructional session occurred at the 1980 SOA Spring Meeting in Minneapolis. The topic was pension plan design for small U.S. pension plans 1-49 lives. From Record of Society of Actuaries, Vol. 6, No. 2.

Description: Article is about paradigm shifts and incorporates items from the book The Seven Habits of Highly Effective People.

Description: Index to Volume 1, which covers all four meetings of the Society of Actuaries in 1975.

Description: The increasing complexity of our environment and the interdependence of technical skills make it necessary for actuaries to keep up with the rapid expansion of knowledge not only in insurance, pensions and related fields, but also in many other disciplines, such as the theory and practice of investing. This editorial points out that the obvious path to versatility is in continuing education. While the Society of Actuaries education and examination program must adapt to meet these new demands, continuing education will not thrive where new information and new ideas are regarded as impractical or theoretical.

Description: June 1985 article in The Actuary by Michael Frank about providing expert advice regarding marital property rights and divorce, especially as they pertain to pensions.

Description: Discusses the achievements of the Taxation Section in 2009 – tax education opportunities, expanded section involvement at meetings expansion of tax content on the SOA exams.

Description: This article describes SOA members’ options for professional development. It also describes the Competency Framework, which consists of eight competencies - knowledge, skills and abilities - that are required for the actuaries of today and tomorrow.

Description: This article provides a summary of the research projects completed during the last half of 2011 by the Society of Actuaries Reinsurance Section.

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

Description: Alternative sources of learning available for free or at low cost if you wish to round out your F&F education about machine learning, artificial neural networks, genetic algorithms and the millennia of biological advances we draw from when we use these techniques.