Conning, a leading global provider of asset management solutions, services and research to the insurance industry, today announced the appointment of Hal W. Pedersen to the position of Director, Quantitative Finance. Mr. Pedersen, previously an advisor to the company will join Conning’s Risk & Capital Management Solutions business.
Mr. Pedersen, an accomplished professor of actuarial science, has more than 15 years academic and industry experience in the application of financial economics to insurance. He is one of the principal architects of GEMS, Conning’s economic scenario generator. Mr. Pedersen served as an advisor to DFA Capital Management since 1999 and subsequently provided advisory services to Conning following its acquisition of the assets of that company in 2010. In his new position at Conning, Mr. Pedersen will play a key role in risk modeling projects as well as in the development of ongoing enhancements to Conning’s economic and capital market scenario generator.
“We are delighted to welcome Hal Pedersen to Conning’s Risk & Capital Management team,” said Stephen M. Sonlin, Managing Director, Conning. “His extensive knowledge and expertise in the insurance and risk management business are invaluable, and will be tremendous assets as we continue to deliver value to clients.”
“Having worked with Conning as an advisor, I am honored to join the Conning team," stated Hal Pedersen. “I am looking forward to helping leverage the company’s unique risk solutions to benefit our clients.”
Mr. Pedersen joins Conning from the University of Manitoba, where he was L.A.H. Warren Professor of Actuarial Science. He had previously been on faculty at Georgia State University. Professor Pedersen’s research activities are in financial economics and the application of financial economics to insurance problems. A significant focus of his research has been on the securitization of insurance risk and its role in capital markets. During his career, Mr. Pedersen has been an advisor to the insurance industry in the development of economic scenario generators, models for foreign exchange, asset-liability management applications and interest rate modelling.
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