Gerald H. O’Connell has expertise in econometrics, advanced analytics, large-scale database development, and performance improvement projects, and more than 30 years of experience in the insurance industry and consulting.
Mr. O’Connell’s most recent experience has included compiling large databases to analyze damages in class action disputes. He has provided data management and business intelligence services for the BRG Healthcare Performance Improvement practice. He also conducted research into the development of smartphone and tablet markets for an intellectual property matter.
As a consultant, Mr. O’Connell has analyzed claims data for property casualty and medical insurers to identify areas of fraud and leakage. He provided business knowledge and analytic support in developing a response model of potential fraud for a major personal lines auto carrier in China that projected to decrease in unnecessary fraud investigations by 50 percent. He developed a vendor management analysis of legal counsel performance that created a scorecard used in attorney selection, reducing legal costs by approximately 10 percent. He also developed predictive model of legal spend used to benchmark performance of Paid-to-Paid reserving methods.
As an underwriting analyst and consultant in the property and casualty insurance industry, he has developed broad-based business experience in China and the United States. His expertise includes underwriting and pricing decisions, product development, sales channel management, customer churn and retention, fraud identification, and vendor management using advanced analytic techniques such as decision tress, clustering techniques, GLM regression, non-parametric tests, time series/GARCH, and graph/network analysis.
Mr. O’Connell holds a certification as an Associate in Risk Management (ARM) from the Insurance Institute of America.
Johns Hopkins University
M.A., Applied Economics, 2010
Loyola University, Chicago
BBA, Managerial Accounting, 1991