CV

Education

MS, School of Computing, National University of Singapore, 2027(expected)
- NUS is ranked #22 in Best Global Universities by US News and #8 in QS World University Rankings by QS Top Universities
B.S. in Statistics, Hunan University, 2025 (expected)
- Rank：22%
- Hunan University is ranked #119 in Best Global Universities and #12 in Best Global Universities in China by US News (2024-2025) .
Outstanding Participant in the Summer Program, Center for Statistical Science, Peking University

Working Paper: Lin Zhu, Guohao Tang, Yulong Zhu, and Fuwei Jiang, Rethinking Timing in the Stock Market: Machine Learning Insights into Low-Frequency Characteristics
currently under review at the Journal of Portfolio Management.

A private investment fund: Quantitative Researcher (6 months)
- Algorithmic Factor Mining (stock market)
A private investment fund: FoF Researcher (4 months)
- 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 (3 months)
Gaorong Capital: Project intern (2 months)
China Everbright Bank: Summer Intern (2 months)

Skills: Proficient in Python (Pandas, Numpy, Pytorch, Matplotlib, etc.), R, SAS, basic C++, basic Linux, proficient in Latex, Tableau, Think-cell
Languages: Chinese (native), English (fluent: TOEFL-99, GRE-334)
Interests: Hiking (Extensive experience in multiple single-day, low-altitude 20km backpacking trips), Football (city-level competition champion), Guitar (five years of learning experience)
Others: GitHub project Intro to Quantitative Finance received 400+ stars⭐ and 1200+ visitors, Co-founder of Career Partner (2k+ followers)

Member of a startup focused on 'AI-driven trading solution'
Development of Financial Event (News) Analysis and Intelligent Dialogue System Powered by Multi-Agent Collaborative Framework Based on Large Language Models
- In Collaboration with Shenzhen Investoday Data Technology Co., Ltd.
GLM-4 Powered Intelligent Question Answering System for Financial Domain: A Multi-source Heterogeneous Data Analytics Platform Integrating Knowledge Graph, Agent Framework and Text2SQL

Under the Framework of Automated Alpha (Stock Selection Factor) Mining: A Comparative Study of Different Methods (Tree-based, Reinforcement Learning, Deep Learning) and Research on Overfitting and Generalization Capabilities
Replication of Barra CNE6
Fundamental Factors and Stock Returns - Based on Machine Learning Methods
Exploring the Impact of the U.S. Macroeconomy on the Chinese Stock Market - Based on Market and Individual Stock Dimensions
The Impact of R&D-to-Market Ratio on Factor Models: Evidence from China's A-Share Market
The Integration of Agriculture and Tourism, Supported by Green Finance, Boosts the Construction of Beautiful Countryside: A Case Study Based on Zhelin Town, Yongxiu County, Jiangxi Province
Mosaic tile color selection model based on clustering algorithm
etc.

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