The CAS Institute Brings Together Industry Experts to Define Program for Predictive Analytics and Data Science Credential

February 15, 2016

The CAS Institute is pleased to announce the formation of a panel of leading practitioners in data science and predictive analytics to define the curriculum and requirements for the organization’s inaugural credentialing program.

The CAS Institute is a subsidiary of the Casualty Actuarial Society that will provide specialty credentialing and professional education to quantitative specialists in selected areas. The first credentials to be developed and granted by The CAS Institute will focus on predictive analytics and data science.

A panel of predictive analytics and data science subject matter experts will develop the specific program characteristics for the new credential, including establishing learning objectives, creating the curriculum, setting the competency levels, directing development of educational materials, overseeing high-quality examination and scoring, and establishing eligibility requirements.

The panel will also define the experienced practitioner program, which will allow for the granting of credentials to those working in predictive analytics and data science who are recognized as having the requisite knowledge, practical experience, and evidence of achievements as an accomplished professional in the field.

In considering the requirements of a predictive analytics and data science credential, the panel is deliberating appropriate levels of knowledge in areas such as:

  • Data concepts, including data management and structured/unstructured data
  • Data tools used by modeling specialists
  • Modeling
  • Project management
  • Methodology, including validation
  • Interpreting and utilizing results
  • Storytelling and visualization, including communicating results to both technical and non-technical audiences
  • Domain expertise

“I am thrilled with the caliber of the predictive analytics and data science professionals we have brought together to establish this first credential from The CAS Institute,” said CAS Immediate Past President Robert S. Miccolis, who chairs The CAS Institute Leadership Advisory Council. “Knowing the experts involved, I am confident that the panel will develop a program that will be highly applicable to current and emerging practice and will meet the needs of both working professionals and their employers.”

The CAS Institute’s programs are designed for professionals seeking recognition through a credential in specialized quantitative practice areas, and who are looking to distinguish themselves from other professionals through evidence of expert, specialized knowledge. It is expected that professionals holding the credentials can leverage this recognition in order to enhance their skills, secure additional job duties, attract premium compensation, and advance their careers.

The CAS Institute plans to begin offering its programs in the latter part of 2016.

CAS Institute Subject Matter Expert Panel for Data Science and Predictive Analytics
Todd W. Lehmann, Chairperson, Vice President & Chief Actuary Quincy Mutual Fire Insurance
Peter T. Bothwell, VP, Data Science, The Hartford
Louise A. Francis, Consulting Principal, Francis Analytics & Actuarial Data Mining Inc.
James C. Guszcza, US Chief Data Scientist, Deloitte Consulting, LLP
Ravi Kumar, VP, Managing Actuary, QBE North America
Glenn G. Meyers, Retired, formerly with ISO Innovative Analytics
Stephen J. Mildenhall, Aon Benfield Analytics
Christopher J. Monsour, VP & Actuary, Predictive Business Applications, CNA Insurance Companies
Cheng-Sheng Peter Wu, Director, Deloitte Consulting, LLP
Robert S. Miccolis, Director, Deloitte Consulting, LLP
Cynthia R. Ziegler, Executive Director, Casualty Actuarial Society
Amy Brener, Director, The CAS Institute, Casualty Actuarial Society

For more information, visit TheCASInstitute.org for the original CAS Institute announcement and a set of Frequently Asked Questions.

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