I am deeply interested in quantitative analysis and actively participate in data modeling projects. I am currently applying for a Jump Quant Investment Banking event and look forward to exploring the forefront of quantitative finance and gaining practical experience.

I am a freshman at the University of Science and Technology of China, majoring in Statistics and Finance. With a high GPA (3.95/4.3, Top 1 in Class, Top 7 in School), I have built a strong foundation in mathematics, programming, and statistical analysis. I am actively involved in blockchain clubs and algorithm workshops.

University of Science and Technology of China (USTC) | B.S. in Statistics (2024 - Present)

GPA: 3.95/4.3 (Top 1 in Class, Top 7 in School)

Relevant Coursework: Mathematical Analysis, Linear Algebra, Data Thinking, Introduction to Economics, C Programming, Python for Data Analysis, etc.

Programming: C (Data Structures/Algorithms), Python (NumPy/Pandas), R (ggplot2)

Quantitative Analysis: Regression Analysis, Financial Modeling, Data Visualization

Tools: LaTeX, Stata (Basic), Linux Shell (Basic), Pycharm, Clion, Rstudio

Languages: English (CET-4), Chinese (Native)

Price Prediction Model: Developed a price prediction model using XGBoost, achieving a top 20% ranking on Kaggle competitions.

Quantitative Finance Self-Study: Currently studying "Options, Futures and Other Derivatives" by John Hull to deepen my understanding of derivatives pricing and risk management.

Algorithm Practice: Solve 5 algorithm problems daily on LeetCode/HackerRank to continuously improve my coding and problem-solving skills.

USTC Freshman Scholarship (Silver) - 2024

National High School Mathematics League Competition - Second Prize, 2023

Blockchain Club Member: Participated in 10+ workshops on algorithm strategies and Web3 finance with the USTC Blockchain Association.

Innovation & Product Design Course: Led an 11-member team in a project collaborating with LCFC (Hefei) to develop innovative input device solutions.

Explore some of my projects and analytical work:

• GitHub Repository - Browse my code and projects.
• Personal Blog - Read articles and case studies on quantitative analysis.
• Project Details - Learn more about my academic and self-study projects.

I continuously seek opportunities to expand my knowledge in quantitative finance. I attend industry seminars, online webinars, and participate in hackathons to keep up with the latest trends in fintech.

Please feel free to reach out for collaborations, mentorship, or a discussion about quantitative analysis!

Email: serelive@ustc.edu.cn
Phone: +86 187-5173-7876
GitHub: serelive.github.io
LinkedIn: Bingfan Wu