Yingying Zhang
About Yingying Zhang
Yingying Zhang is a Quantitative Developer at Squarepoint Capital in London, England, with a background in Computing Mathematics and Mathematics. She has experience in machine learning, data analytics, and mathematical modeling, and previously worked at Deutsche Bank as a KDB developer.
Work at Squarepoint Capital
Yingying Zhang has been employed as a Quantitative Developer at Squarepoint Capital since 2022. Based in London, England, she has contributed to the firm's quantitative development initiatives for two years. Her role involves applying her expertise in mathematical modeling and data analytics to support the firm's trading strategies and risk management processes.
Education and Expertise
Yingying Zhang holds a Bachelor of Science in Computing Mathematics from City University of Hong Kong, where she studied from 2014 to 2018. She furthered her education by obtaining a Master of Science in Mathematics from the University of St Andrews, completing her studies in 2019. Additionally, she attended the University of Surrey for a Summer School program in Computer Science in 2017. Her academic background has equipped her with strong skills in machine learning and data analytics.
Background
Prior to her current position at Squarepoint Capital, Yingying Zhang worked at Deutsche Bank as a KDB developer from 2020 to 2022. During her time there, she gained valuable experience in quantitative development within the financial sector. Her work involved utilizing advanced data management and analytical techniques to address complex challenges.
Achievements
Yingying Zhang has hands-on experience in machine learning and data analytics, which she has applied in various innovative problem-solving projects in the field of quantitative development. Her expertise in mathematical modeling has played a significant role in her contributions to the projects she has been involved in, particularly during her tenure at Squarepoint Capital and Deutsche Bank.