CV

Education

B.S. in Economic Statistics, Hunan University, 2025 (expected)
Outstanding Participant in the Summer Program, Center for Statistical Science, Peking University

A private investment fund: Quantitative Researcher
- Factor Mining.
A private investment fund: FoF Researcher
- Equity Fund Quantitative Screening and Analysis (Long-Only and Hedge Strategies): Reconstructed the entire process of fund research and access, saving approximately 50% of the time spent on fund selection; developed strategy classification tools, achieving an accuracy rate of over 90% for classifying any mainstream strategy fund; developed a screening scoring system, with the top 10% of selected funds having an annualized excess return of approximately 5% relative to the average of the same category
- Developed tools for automated net asset value (NAV) analysis, successfully recommending over 20 funds for inclusion in a whitelist, aiding the fund selection and configuration for a FOF account over three quarters
- Implemented the BARRA risk model for A-shares using optimized techniques (via CVXPY), including 19 primary factors, 31 industry factors, and 1 country factor; performed portfolio risk evaluations and performance attribution, with primary factor returns showing a T-value greater than 2 in approximately 60% of the periods
China Securities: Quantitative Researcher

Skills: Proficient in Python (Pandas, Numpy, Matplotlib, etc.), R, SAS, basic C++, basic Linux, Tableau, Think-cell
Languages: Chinese (native), English (fluent: CET4, CET6, TOEFL)
Interests: Football (city-level competition champion), Guitar (five years of learning experience)
Others: GitHub project Intro to Quantitative Finance received 100+ stars, Co-founder of Career Partner (2k+ followers)