Eric Zhao

Eric Zhao is a Quantitative Analyst at King Street Capital Management, based in New York, NY, where he is responsible for developing and implementing quantitative models to support the firm's investment strategies. At King Street, he leverages advanced programming skills in Python and C++, along with statistical data analysis, to inform trading decisions and risk management in complex credit and event-driven strategies.

Zhao's investment focus includes credit, distressed assets, and event-driven opportunities, reflecting the core sectors covered by King Street Capital Management. His expertise enables the firm to systematically identify mispricings and arbitrage opportunities within fixed income, structured credit, and other alternative asset classes in global markets.

Prior to his current role, Eric Zhao was a Quantitative Associate and earlier a Quantitative Analyst at Neuberger Berman, where he specialized in model development and data analysis for multi-asset investment portfolios. He holds a Master of Science in Computational Finance from Carnegie Mellon University's Tepper School of Business and a Bachelor's degree in Applied Mathematics from the University of Illinois at Urbana-Champaign, underscoring his strong analytical and technical background in quantitative finance.