Robert DeLiberato, FCAS, MAAA

Actuarial Executive in Residence, Mathematics
Disciplines Taught: Actuarial Science, Mathematics
Office: 245 Barbelin
Phone: (610)-660-1537
Fax: (610)-660-3082
Email: rdeliber@sju.edu


Education

Mr. DeLiberato earned a B.S. in Mathematics from Saint Joseph’s University. He began his career in Actuarial Science at the Insurance Company of North America, where he earned his designations as an Associate and a Fellow in the Casualty Actuarial Society. He worked at CIGNA and Reliance Insurance Companies before returning to Saint Joseph’s in 2005 to assist in the development of the Actuarial Science Program. He created and chairs the Industry Advisory Board for Actuarial Science. This board is comprised of local actuaries in senior executive positions who provide internship and employment opportunities for our students, as well as serving as guest lecturers and advisors for the program.

His areas of expertise are in pricing and ratemaking for casualty lines of business, including automobile, homeowners, workers compensation, and general liability. He worked as an actuary and a financial executive, eventually serving as Senior Vice President of Risk Management Operations, specializing in designing insurance programs for Fortune 500 corporations.

He is a contributing author to Insider’s Guide to Teaching with Excursions in Modern Mathematics (Pearson, 7th Edition, 2010)

Professional Experience

Casualty Insurance Operations

Design of Risk Management Programs for Fortune 500 Corporations

Individual Risk Rating

Retrospective and Loss Sensitive Rating Programs,

Excess and Deductible Pricing

Personal Automobile Pricing

Cash Flow Insurance Products

Capital Allocation Models

Courses Taught

  • ASC 150 – Forecasting the Future: The Mathematics of Risk
  • ASC 401 – Financial Mathematics
  • MAT 105 – Finite Mathematics with Applications in Business
  • MAT 106 – Brief Business Calculus
  • MAT 107 – Topics in Contemporary Mathematics
  • MAT 118 – Introduction to Statistics
  • MAT 128 – Applied Statistics

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