Description: This session from the 1993 Valuation Actuary Symposium polls the audience on different questions related to valuation actuary work. It also covers other issues including the impact of risk-based capital requirements on testing, HMO opinions and other general questions.

Description: Panel discussion, by a physician and an actuary, about the historical forces behind various trends in organ transplant experience data.

Description: This session from the 1993 Valuation Actuary Symposium discusses the draft of the group LTD practice notes, the disabled lives reserve DLR, the IBNR liability, the testing of a company performed at year-end 1992 to determine reserve adequacy and an overview of of the individual disability income IDI practice notes.

Description: This session from the 1993 Valuation Actuary Symposium discusses opinion and memorandum issues facing the appointed actuary including the criteria used to form an opinion, analyzing year-end testing, documentation needed, reliances, how to handle a qualified opinion and options other than cash flow testing.

Description: Panel discussion of alternative approaches to the design of reserve standards, to include those topics discussed in several recent papers and committee reports.

Description: This discussion is about the basic information on adoption of retirement plan. From Transactions of Society of Actuaries 1961 Vol. 13 PT 2

Description: The arrival of ASU 2018-12 (a.k.a Targeted Improvements to the Accounting for Long-Duration Contracts or GAAP Targeted Improvements) presents insurers with augmented financial reporting risk across all areas of the valuation process. Naturally, the internal control frameworks that serve to mitigate these risks must evolve and expand. Valuation actuaries should view this transformative event as an opportunity to take an active role in developing new and improved controls that are both effective and sustainable.

Description: The actuarial profession is marching into the age of Big Data. Increasingly, employers in various actuarial fields are requiring new hires to have sophisticated knowledge in statistics and data science. To meet the new demands from the industry and the profession, one of the key additions to the SOA’s new curriculum is an exam in Statistics for Risk Modeling (SRM) which includes modern statistical and data science techniques. There is also a new proctored project on Predictive Analytics, as a capstone requirement following the completion of the SRM Exam. At the University of Toronto, we recently underwent a major actuarial science curriculum redesign, in order to stay current with new trends and demand from the profession and in line with the new professional curriculum.

Description: In the insurance industry, machine learning models are increasingly used to make decisions that affect people's lives. In order to ensure that models are fair, they should be audited for bias. There are no hard and fast rules for bias audit; metrics that can be used to evaluate fairness vary depending on the context in which the model is deployed. In this session, we present a flexible framework that highlights key considerations in bias evaluation that can be adjusted to suit your process. In this session, we will learn about different metrics to assess fairness, discuss open source tools that can be used for bias audit, and walk through a case study.

Description: Traditionally the SOA formulates pedagogic excellence in terms of the Marzano Taxonomy. For example, the "analysis level" consisting of generalization, specification, classification, contrast, matching, and error identification, is considered superior to the "retrieval level" consisting of rote memorization such as recognition, recall, and using. In this presentation, we first show that pedagogic excellence can be equivalently, but more simply, formulated in terms of executive function and goal-setting. Here executive function refers to problems requiring multiple mental modalities - such as, formal, verbal, computational, and graphical - for their solution. Goal-setting refers to the skillful breakup of a complex problem into a sequence of subgoals each of which is clearly formulated, challenging, but achievable timely. Light examples from the literature illustrate these concepts. Five "challenging FM problems": reinvestment, refinancing, multiple rate/deposit problems, pricing deferred bonds using a term structure, and obscure loan problems, illustrate the following fundamental techniques of goal-setting and executive function: i) a fellowship approach to teaching preliminary exam material, ii) using subgoals to give difficult homework, iii) alternating between different mental modalities to achieve elegant brevity in solutions, iv) goal-setting reflecting familiar vs. new, and v) skillful definition of unit subgoals.