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: This paper eschews using general reasoning to arrive at formulas rather than using mathematical proofs. As a demonstration, the authors explore the mathematical basis supporting increasing insurances under the assumption of a uniform distribution of deaths under each year of age. Actuarial Research Clearing House 1979 VOL. 2

Description: This article provides a basic overview of how Health Section research is initiated and conducted including the roles different parties play. Issue No 60

Description: The main goal of the paper is to make the next edition of the textbook, 'Actuarial Mathematics' slightly better regarding the Risk Theory part. From Actuarial Research Clearing House 1993. VOL. 2.

Description: The article contains a description of the Emerging Topics Community. The focus of the article is what is a community, what makes the Emerging Topics Community special, and benefits of the Community. Included after the discussion on the community are ways to get involved and be a part of the community.

Description: This paper is a review of actuarial mathematics and its role in actuarial education. Additionally, this article suggests some alternatives to the textbook presentation of several topics. From the Actuarial Research Clearing House 1991, Vol.1.

Description: With seemingly unending demands on life & annuity companies for more intense and complex calculations, as well as greater sophistication around analytics, and all of this done at speed, never before has it been so important to seek out maximum efficiency in constructing models. In this session the panelists examine how the combination of various model efficiency approaches, pulling in many different facets of modeling and making it flexible enough to dial up or down various modeling components, can bring about incredible results. Not only does it become possible to produce and expand upon financial risk metrics via a building block approach, but also enables life insurers to produce analytics and dashboards to support strategic decisions that were simply not possible or cost effectively viable before.

Description: Call for Practical Application Essays on NAAJ Articles

Description: This discussion is about the types of work that actuaries are doing in the E.D.P.M field. From Transactions of Society of Actuaries 1961, Vol. 13 Pt. 2

Description: Crossword puzzle for the readers of Risks & Rewards newsletter.