Group Will Define Program for Data Science and Predictive Analytics Credential
The CAS Institute has formed a panel of leading practitioners in data science and predictive analytics to define the curriculum and requirements for the organization’s inaugural credentialing program. “I am thrilled with the caliber of the data science and predictive analytics 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.
Established as a subsidiary of the Casualty Actuarial Society in late 2015, The CAS Institute 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 data science and predictive analytics.
For the new credential, subject matter experts will determine learning objectives, create the curriculum, set the competency levels, direct educational material development, oversee examination and scoring, and establish eligibility requirements.
The panel will also define the experienced practitioner program, which will grant credentials to accomplished professionals in the field of data science and predictive analytics who possess the requisite knowledge, practical experience and evidence of achievements.
For credential requirements, the panel is deliberating on the 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 nontechnical audiences
- Domain expertise
The CAS Institute’s programs are designed for professionals seeking a credential in specialized quantitative practice areas and looking to distinguish themselves from other professionals. “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,” said Miccolis. It is expected that professionals holding the credentials can 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. For more information, visit TheCASInstitute.org for the original CAS Institute announcement and a set of Frequently Asked Questions.
The CAS Institute Subject Matter Expert Panel for Data Science and Predictive Analytics
Todd W. Lehmann, Chairperson, VP, Corporate Research & Analytics, OneBeacon Insurance Companies
Peter T. Bothwell, VP, Data Science, The Hartford
Louise A. Francis, Consulting Principal, Francis Analytics & Actuarial Data Mining Inc.
James C. Guszcza, U.S. 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, CAS Institute Project Manager, Casualty Actuarial Society