Announcement: SOA releases October 2019 Exam FM passing candidate numbers.

Scenario Modeling Module

Welcome to the Scenario Modeling FSA Module home page! Please review all of the information and links provided below.

The Scenario Modeling FSA module is an e–Learning module where you acquire and use knowledge that is distributed and facilitated electronically. The electronic e–Learning facility will also provide information regarding required text readings and other non–computer–based activities.

The purpose of the Scenario Modeling module is to provide you with extensive practice building and running the types of economic scenarios you may be required to create as an actuary. You will also gain familiarity with authoritative resources that will facilitate future reading, reference, and practice should that be needed for your work.

 

The Scenario Modeling module requires the candidate to have existing skills in using R and RStudio. To learn more about R, you may wish to make use of the online learning tools at rstudio.com, particularly the “R Programming” and “R Markdown” topics. You may also wish to consult these optional reference books:

 

  • Introduction to R for Quantitative Finance,Doroczi, G., et. al., First Edition, 2013, Packt Publishing.
  • An Introduction to Analysis of Financial Data with R,Tsay, R.S, First Edition, 2012, Wiley Publishing.

 

Candidates have flexibility in the order in which they complete the requirements. However, the SOA has established a recommended order for each fellowship track. These recommendations are effective for all exams and modules completed after July 1, 2011. Candidates should be aware that an examination/module may assume familiarity with material that is covered in any requirement that is recommended to come before that examination or module.

 

Learn more about changes coming to this track.

Recognized by the Canadian Institute of Actuaries. 

 


Overview and Study Materials


Rules and Regulations

 


Registration


Resources

 

 

 

FSA module inquiries may be directed to elearn@soa.org