Jiada Lyu
About Jiada Lyu
Jiada Lyu is a Quantitative Researcher at Squarepoint Capital in London, United Kingdom, where he has worked since 2018. He holds a Master's degree in Mathematical Statistics from the University of Cambridge and a Bachelor's degree in Mathematics and Applied Mathematics from Sun Yat-Sen University.
Work at Squarepoint Capital
Jiada Lyu has been employed as a Quantitative Researcher at Squarepoint Capital since 2018. Based in London, United Kingdom, Lyu has contributed to the firm's quantitative research efforts for six years. Squarepoint Capital is known for its focus on quantitative trading strategies and data-driven investment approaches.
Previous Experience at Deutsche Bank
Before joining Squarepoint Capital, Jiada Lyu worked at Deutsche Bank as a Quantitative Researcher for one year, from 2017 to 2018. This role involved applying quantitative methods to support the bank's trading and investment strategies. Lyu's experience at Deutsche Bank provided a foundation in financial modeling and quantitative analysis.
Education and Expertise
Jiada Lyu studied at the University of Cambridge, where she completed Part III of the Mathematical Tripos in Mathematical Statistics, earning a Master of Advanced Study (MASt) from 2015 to 2016. Prior to that, she obtained a Bachelor's Degree in Mathematics and Applied Mathematics from Sun Yat-Sen University, where she also earned a Minor Certificate in Finance. This educational background equips Lyu with strong analytical and statistical skills relevant to her work in quantitative research.
Consulting Experience at EY
Lyu worked at EY as a Consultant in Quantitative Advisory Services from 2016 to 2017. During her eight-month tenure, she provided quantitative analysis and advisory services, leveraging her mathematical expertise to assist clients in making informed decisions. This role enhanced her experience in applying quantitative methods in a consulting context.
Internship at National Physical Laboratory
In 2016, Jiada Lyu served as a Summer Research Intern at the National Physical Laboratory (NPL) for two months. This internship allowed her to gain practical experience in research and development, furthering her understanding of quantitative methodologies in a scientific environment.