Director

Jay Vadiveloo PortraitJay Vadiveloo, PhD, FSA, MAAA, CFA, is a Professor at the University of Connecticut and Director of the recently endowed Janet & Mark L Goldenson Center for Actuarial Research at the University of Connecticut.  Jay has a doctorate in statistics from the University of California, Berkeley, is a Fellow of the Society of Actuaries, a Member of the American Academy of Actuaries, and a Chartered Financial Analyst. Jay has over 25 years of experience with the life insurance industry which includes senior level appointments at Connecticut Mutual, Mass Mutual, Aetna Financial Services, ING,  Deloitte Consulting and currently, Towers Watson.

As Professor and Director of the UConn Goldenson Center, Jay works on applied actuarial research projects using teams of academicians, students and industry professionals. Jay’s research work has also enabled him to supervise several PhD students in a variety of topics including integrated retirement financial planning, measuring and analyzing the volatility risk for individual disability income (DI), and analysis of efficient financial modelling techniques. The Enterprise Risk Management for Small Businesses (ERMSB) initiative is one example of the research projects undertaken by the Goldenson Center.

Jay has published several articles in the actuarial literature and is a frequent speaker at actuarial conferences and seminars. One of Jay’s important contributions to the financial services industry is the invention of a patented new algorithm (Replicated Stratified Sampling or RSS) for risk modelling which exponentially reduces processing time at a pre-determined accuracy level for any complex actuarial modelling. More recently, Dr. Vadiveloo has obtained a provisional patent on a claims tracking and monitoring process which allows a company to easily detect significant deviations in claims experience and recognize whether it is only a one-time occurrence or shows a historical trend as well. Dr. Vadiveloo is also editor and co-author of a new text by the Society of Actuaries on Enterprise Risk Management for Small and Medium-Sized Enterprises.

ERM Initiative

 

Selected Publications

  • “Some results on Optimum Premium Payment Plans” – Scandinavian Actuarial Journal, 1982
  • “On the Theory of Modified Randomization Tests for Nonparametric Hypotheses” – Communications in Statistics, 1983
  • “Multivariate Analysis of Pension Plan Mortality Data” – Contingencies 2001
  • “Stochastic DAC unlocking for Variable Annuity Products” – Financial Reporter, 2001
  • “Pricing for the volatility risk of traditional actuarial liabilities” – Financial Reporter, 2003
  • “Actuarial Analysis of Different Interpretations of SOP 03-1” – Financial Reporter, 2005
  • “Micro Risk Management – Identifying Small Business Risk” – Contingencies, 2012

Education and Professional Development

  • Econ. Hon., University of Malaya
  • MS, Ph.D. (Statistics), University of California, Berkeley
  • Fellow of the Society of Actuaries (FSA)
  • Member of the American Academy of Actuaries (MAAA)
  • Certified Financial Analyst (CFA)
  • Towers Watson  Professor & Director, Janet & Mark L. Goldenson Center for Actuarial Research, University of Connecticut, 2008 to present
  • Deloitte Professor & Director, UConn Actuarial Center, University of Connecticut, 2001 to 2008
  • Adjunct Professor of Actuarial Science, University of Connecticut, 1990 to 2001
  • Assistant Professor, Department of Mathematics and College of Business, University of Oklahoma, 1980-1983
  • Assistant Professor, Department of Mathematics, Syracuse University, 1977-1980

Research Supervision

Major thesis advisor for  several Ph.D. students in Actuarial Science at the University of Connecticut. A sample of Ph.D. research topics include the following:

  • Model to develop a Provision for Adverse Deviation (PAD) for the mortality risk of impaired lives.
  • Stochastic modelling of post retirement financial planning.
  • Stochastic modelling of long term care insurance
  • Measuring and analyzing volatility risk in disability income
  • Efficient modelling algorithms for deferred annuity lines of business
  • Replicated Stratified Sampling – theoretical properties and applications
  • Claim Cost Management for Property & Casualty lines of business