Description: This article describes the LEARN program which provides state regulators with a convenient means of obtaining the knowledge base needed to understand how reinsurance works. It is an update of the article originally published in the July 2011 issue Reinsurance News.

Description: This article highlights the value of Enterprise Risk Management to an organization and provides a link for more information about the CERA credential. From the Pension Section News, September 2008, Issue No. 68.

Description: Learn various ways that actuaries are an making an impact on social issues such as healthcare, public health and climate change. Do you ever wonder if the actuarial profession is doing more than making bottom line revenue for its employers? Hear directly from multiple actuaries who are following their vocation by utilizing their actuarial skills to address real societal issues.

Description: Description of rationale and benefits of moving newsletter to a digital format

Description: The December 2013/January 2014 edition of The Actuary magazine—the Society of Actuaries’ flagship publication.

Description: Feature article discussing opportunities for actuaries in the health care industry.

Description: In this interview, Caroline Grégoire, formerly from Hannover Re, and now international mentor, coach, trainer and speaker, shares her views on how mentoring can support you on your career path and how it also benefits the reinsurance industry as a whole.

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: Read the November 2020 issue of Expanding Horizons published by the Education & Research Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

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.