Ying Chan

Ying Chan is a Quantitative Researcher at Freestone Grove Partners, based in San Francisco, CA. Her role centers on developing and implementing quantitative models for investment strategies, with a particular emphasis on analyzing complex data sets to inform portfolio construction and risk management decisions. At Freestone Grove Partners, she focuses on systematic approaches across multiple asset classes, including equities, fixed income, and derivatives.

Prior to her current position, Chan gained extensive experience in financial research and data science. She served as a Quantitative Researcher at BlackRock from 2018 to 2023, where she contributed to factor-based and multi-asset investing, and as a Senior Data Scientist at Moody's Analytics, focusing on credit risk and financial modeling. Her work spans both buy-side and risk analytics, with direct contributions to investment products and risk management frameworks in global financial markets.

Chan holds dual master's degrees from UC Berkeley—in Information and Data Science and Financial Engineering—and a bachelor's degree in Actuarial Science and Finance from the University of New South Wales. Her expertise includes quantitative finance, machine learning for capital markets, and risk analytics. Throughout her career, she has been recognized for her ability to bridge advanced analytics with practical investment applications, notably in the areas of systematic investing and multi-factor portfolio construction.