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Xingyuan Liu profile image

Xingyuan Liu

Quantitative Analyst Intern at Fides Capital Group Limited
Intro Book
Quantitative finance professional with experience in machine learning, financial modeling, and research.
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Location
Kowloon City District, Hong Kong SAR, HK
Languages
  • Chinese (Cantonese) Native or bilingual proficiency
  • English Full professional proficiency
  • Chinese (Mandarin) Native or bilingual proficiency
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Bio

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Xingyuan Liu is a quantitative finance professional with experience in machine learning, financial modeling, and research. He holds a Bachelor of Science degree in Quantitative Finance and Computer Science from Hong Kong University of Science and Technology, and has worked as a Quantitative Analyst Intern, Financial Modelist Intern, Researcher, and Research Assistant. He is proficient in Chinese (Cantonese and Mandarin) and English, and has certifications from Beta Gamma Sigma and Bloomberg Market Concepts.

Credentials

  • Lifetime Member
    Beta Gamma Sigma
    Mar, 2024
    - Apr, 2026
  • Bloomberg Market Concepts Certificate
    彭博资讯
    Nov, 2023
    - Apr, 2026

Experience

  • Fides Capital Group Limited
    • Quantitative Analyst Intern
      • Jun 2024 - Present

  • The Hong Kong University of Science and Technology
    • Research Assistant (Accounting)
      • May 2024 - Present

      Help with machine learning + accounting

  • Verified Metrics
    • 香港特别行政区 香港
    • Financial Modelist Intern
      • Jan 2024 - Present
      • 香港特别行政区 香港

      Automatic Financial Modelling

  • HKUST Crypto-Fintech Lab
    • Researcher
      • Nov 2022 - Present

  • 香港科技大学
    • Research Assistant (Mathematics)
      • Mar 2023 - Mar 2024

      Help with web scraping

  • Jane Street
    • 香港特别行政区 香港
    • INSIGHT Program
      • Jan 2024 - Jan 2024
      • 香港特别行政区 香港

      -Participated in games including trading games and market making games-Learned about Bayes’ Theorem and arbitrage in finance application

  • Guangdong Huafu Asset Management Co. Ltd.
    • Quantitative Research Intern
      • Jun 2022 - Aug 2022

      -Studied research reports, replicated the factors and backtested performance-Established a binomial tree option pricing model and calculated implied volatility, replacing conversion premium rate in the multi-factor model -Built a multi-factor model of convertible bonds that yields a 15.73% rate of return and a 48.26% trading success rate by Pandas and NumPy

Education

  • 2022 - 2026
    香港科技大学
    Bachelor of Science - BS, Quantitative Finance and Computer Science, with Extended Major in Artificial Intelligence
  • 2019 - 2022
    Guangzhou Zhixin High School
    Outstanding Graduate
  • 2023 - 2023
    Charles University
    Summer Program - Eastern and Central European Study

Suggested Services

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Industry Focus. “Financial Services”

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