Description: Entry in the Speculative Fiction Contest 2019

Description: Entry in the Speculative Fiction Contest 2019

Description: Editor’s column discussing the need for communication amongst actuaries.

Description: The key tasks of credit risk capital project under CROSS II mainly focus onL(1 )Adjustment of measurement framework; (2) Calibration of risk factors, including both credit spread risk and credit default risk;3)Introduction of concentration risk measurement; (4) Higher requirement on look-through rule.

Description: This article contains best practices on actuarial modeling based on the author's personal experiences and provides useful advice for actuaries to consider in their daily work.

Description: This is an Editorial describing the need for actuaries to upgrade skills or risk minimization from artificial intelligence.

Description: Winner of the Most Unique Actuarial Career of the Future award in the SOA's 2022 Speculative Spectacular Fiction & Art Contest.

Description: In today’s market of post-pandemic consolidation and org chart streamlining, we’ve observed significant changes to actuarial career development and advancement opportunities. But, those changes aren’t occurring in equal measures across the arc of the actuarial career. Our focus is on the impact felt by experienced reinsurance actuaries.

Description: For the interview with Andy Peterson, he agrees with the changes. Can we please also add the following introductory paragraph: In this exclusive feature, International Section Council members have the privilege of engaging in a conversation with Andy Peterson, Managing Director International at SOA, offering a deeper understanding of the SOA’s global strategy. Join us as we delve into the strategic vision and initiatives guiding our international pursuits, reaffirming our commitment to serving and empowering actuarial professionals across the globe.

Description: Article describes best practices for teaching a course module that involves multiple parameters. A good example is hypothesis testing which requires consideration of the parameters, sample-size, population distribution, known variance and has as consequences whether a normal or t distribution should be used or whether non parametric methods are used. The articles recommends use of the Prime Implicant Normal Form as a means of teaching. It shows the superiority of this method over other forms such as heuristics, complete rules, or graduated approaches.