Xiaoling Chen

Xiaoling Chen is a Quantitative Researcher at Old Mission in New York, specializing in designing and deploying quantitative trading strategies. In this capacity, she focuses on systematic approaches to trading across global equities and derivatives, leveraging advanced statistical methods and algorithmic solutions to optimize portfolio performance.

Prior to joining Old Mission in 2022, Xiaoling held key quantitative roles at Boerboel Trading, where she developed market-making and arbitrage strategies, and at BlackRock as a Financial Modeling Associate, where she contributed to multi-asset risk and valuation models for institutional portfolios. Her experience spans U.S. and international equity markets, index products, and ETF liquidity structures, with an emphasis on market microstructure and high-frequency trading applications.

Xiaoling holds a Master’s degree from the University of Illinois at Urbana-Champaign and a Bachelor’s degree from Shanghai Jiao Tong University. Her expertise includes statistical modeling, machine learning applied to financial markets, and quantitative risk analytics, positioning her as a thought leader in systematic investment and electronic market-making.