Shengjie Xiu

Shengjie Xiu

PhD
2020 – 2024

J.P. Morgan

I completed my PhD under the supervision of Prof. Palomar and I’m currently a Quantitative Trader at J.P. Morgan Hong Kong, working on systematic strategies across APAC markets.

During my PhD, I developed fast optimization algorithms for portfolio problems and statistical models for intraday signals. I also have hands-on experience building high-frequency trading systems, from alpha research to execution infrastructure.

Feel free to reach out about opportunities in AI & Fintech, or if you have interesting ideas to collaborate on!

Interests
  • Portfolio Optimization
  • Systematic Trading & Alpha Research
  • High-Frequency Trading Systems
  • Machine Learning for Finance
  • Optimization Algorithms
  • AI Agents
Education
  • PhD in Electronic and Computer Engineering, 2024

    Hong Kong University of Science and Technology (Hong Kong)

  • BEng in Electrical Engineering, 2020

    Sun Yat-sen University (Guangzhou, China)