Senior Consulting Actuary

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Gary C. Wang

Gary Wang is a Senior Consulting Actuary with Pinnacle Actuarial Resources, Inc. in the Bloomington, Illinois office. He holds a Bachelor of Science degree in mathematics from the University of Illinois and a Master of Science degree in mathematics education from Northern Illinois University. He also has extensive graduate level coursework in Theoretical and Applied Mathematics from Northern Illinois University. He has over seventeen years of actuarial experience in the property/casualty insurance industry.

Mr. Wang currently serves the CAS as a member of the Ratemaking and Product Management Planning Committee and the Examination Committee. Mr. Wang is a SAS® Certified Predictive Modeler Using SAS® Enterprise Miner™ 5.

Before joining Pinnacle, Mr. Wang was employed as a pricing actuary for three of the top ten insurance companies. His pricing experience includes standard homeowners rate indications, commercial auto rate indications, and reinsurance treaty pricing for both personal and commercial lines. In addition, he has experience in reserving analyses for commercial auto and market trend analyses for commercial auto and workers compensation.

At Pinnacle, Mr. Wang has worked extensively on the application of advanced statistical modeling techniques to the insurance process. His experience in predictive analytics applications include rating and underwriting plan design, homeowners by-peril analysis, auto vehicle characteristics analysis and scorecard development, and territory boundary development. Mr. Wang has made numerous presentations on topics relating to predictive modeling, ratemaking, and insurance credit-based scoring.

Publications and Media

September 28 2017 APEX Webinar
State of the UBI Market
Authored by Gary C. Wang and Michael K. Chen.

December 15, 2016 APEX Discussion Series
Autonomous Vehicles and Their Impact on the Insurance Space
Authored by Gary C. Wang and Michael K. Chen.

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Case Studies

Catastrophic Risks

Catastrophic Risks

Pinnacle was retained by an insurance company specializing in catastrophic risk to identify and test alternative sources of risk financing capacity including traditional reinsurance and catastrophe bonds. In order to complete the project, Pinnacle designed a dynamic financial model to determine the cost/benefit of alternate risk financing strategies.



Pinnacle was approached by a regional insurer that wanted to develop a predictive model that estimated the time that a claim would be open based on what is known at the first notice of loss. The company felt like this would allow them to more effectively manage their caseload and handle claims more proactively. Pinnacle, through the use of predictive modeling, assisted the carrier in designing a model which predicted cycle time based on the FNOL. Not only did this give the company a better understanding of its claims, but also assisted them in understanding their claims data better and improving their data collection.

DFA Model

DFA Model

Pinnacle was asked by a regional insurer to help build a customized financial model for use in strategic decision making and in determining economic capital needs. The model reflected current and potential underwriting operations. It also incorporated economic scenario generators, capital allocation, catastrophe model results, regulatory and rating agency metrics such as risk-based capital (RBC) and Best’s Capital Adequacy Ratings (BCAR), as well as loss reserve variability. The model was designed to be used to evaluate a variety of strategic decisions, particularly related to underwriting, reinsurance, macro investment allocation, and capital allocation decisions.

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