Peiying(shirley) Song
About Peiying(shirley) Song
Peiying (Shirley) Song is a quantitative researcher with a strong background in mathematics and finance. She has worked at notable firms including Morgan Stanley and Squarepoint Capital, contributing to quantitative strategies and research.
Work at Squarepoint Capital
Peiying Song currently holds the position of Quantitative Researcher at Squarepoint Capital, a role she has occupied since 2022. Based in New York, New York, she contributes to the firm's quantitative research efforts, applying her expertise in mathematics and finance to develop strategies and models that support trading and investment decisions.
Experience at Morgan Stanley
Peiying Song has extensive experience at Morgan Stanley, where she worked in various capacities. She served as a Quantitative Strategist from 2019 to 2022, focusing on quantitative analysis and strategy development. Prior to this role, she completed a summer internship as a Quantitative Finance Summer Analyst in 2018, where she gained hands-on experience in quantitative finance methodologies.
Internship at Guotai Junan Securities
In 2017, Peiying Song interned as an FX Trading Assistant at Guotai Junan Securities Co., Ltd in Shanghai. This five-month internship provided her with practical experience in foreign exchange trading and market analysis, enhancing her understanding of financial markets.
Education and Expertise
Peiying Song earned her Bachelor of Science (B.S.) degree in Mathematics and Applied Mathematics from Fudan University, where she studied from 2013 to 2017. She further advanced her education at New York University, where she pursued a Master of Science (M.S.) in Mathematics in Finance at the Courant Institute of Mathematical Sciences from 2017 to 2018. Her academic background equips her with strong analytical and quantitative skills applicable in finance.