2022 CAS R for the P&C Practitioner Bootcamp

The CAS offers a virtual contingency to R Bootcamp registrants unable to attend in-person due to COVID or COVID exposure.

Casualty Actuarial Society's Envisioned Future 

The CAS will be recognized globally as the premier organization in advancing the practice and application of casualty actuarial science and educating professionals in general insurance, including property-casualty and similar risk exposure. 

Continuing Education Credits 

The CAS Continuing Education Policy applies to all ACAS and FCAS members who provide actuarial services. Actuarial services are defined in the CAS Code of Professional Conduct as "professional services provided to a Principal by an individual acting in the capacity of an actuary. Such services include the rendering of advice, recommendations, findings or opinions based upon actuarial considerations". Members who are or could be subject to the continuing education requirements of a national actuarial organization can meet the requirements of the CAS Continuing Education Policy by satisfying the continuing education requirements established by a national actuarial organization recognized by the Policy. 

This activity may qualify for up to 33.6 CE credits for the 2022 R Bootcamp for CAS members. Participants should claim credit commensurate with the extent of their participation in the activity. CAS members earn 1 CE credit per 50 minutes of educational session time, not to include breaks or lunch. 

Note: The amount of CE credit that can be earned for participating in this activity must be assessed by the individual attendee. It also may be different for individuals who are subject to the requirements of organizations other than the American Academy of Actuaries. 

Learning Objectives

Attendees will complete the course with a working knowledge of R, having applied it in a realistic setting. More specifically, participants will finish the course having mastered the following:

• Read data into the R environment from a variety of sources
• Visualize data and use this as the basis of selecting a model
• Fit several different models to a set of data, assess the quality of fit and choose between competing models
• Manipulate data so that it may be modeled, or otherwise communicated
• Use the "actuar" and "ChainLadder" packages, which are designed for actuarial applications

Capstone Projects

The CAS R Bootcamp will provide general instruction on how to use the R programing language . The bootcamp will also provide Capstone projects in two different actuarial areas for applying learning objectives. Attendees will share project outcomes with the whole group on the last day using tools available in the broader “R Environment.” Attendees will need to choose their preferred topic during the registration process.

Ratemaking

Bootcamp attendees who sign up for this track will be given datasets representing premium and claims for a product line. The project will be to use R to analyze the data for trends and anomalies and identify and fit a model to the data that distinguishes between predictive characteristics. Track attendees will prepare disruption analyses, profitability projections, and other management information to communicate the effect of the new model on the portfolio.

Reserving

Attendees who sign up for this track will be given a dataset that contains loss triangles for several different lines of business for many different companies. Participants will conduct a reserve study using standard techniques like chain ladder as well as less common methods like the Clark growth curve model and hierarchical regression.

Speaker Opinions 

The opinions expressed by speakers at this event are their own and do not necessarily reflect the opinions of the CAS. 

Contact Us  

For more information on content, please contact Wendy Ponce, Professional Education Coordinator, at wponce@casact.org.  

For more information on course logistics or attendee registration, please contact Leanne Wieczorek, Manager Meeting Services at lwieczorek@casact.org.  

For more information on other CAS opportunities or regarding administrative policies such as complaints and refunds, please contact the CAS Office at (703) 276-3100 or office@casact.org.