Quantitative Researcher (Monetization & Optimization) - 2027 Campus Recruitment

About Mingshi

Founded in 2010, Mingshi is one of China's pioneering quantitative investment firms. Our team brings together exceptional talent from finance, mathematics, physics, computer science, artificial intelligence, and other disciplines. Grounded in rigorous research and driven by technological innovation, we continuously build stable, efficient, and scalable quantitative research and trading systems, with the ambition of " To be the authority of A Quant."

About the Role

As a Quantitative Researcher (Monetization & Optimization) , you will improve how Alpha signals are combined and translated into portfolio performance. You will also develop optimization methods that improve investment performance and strategy capacity.

Your Responsibilities

1. Signal Monetization: Analyze Alpha signals and improve signal-combination models for stronger, more robust predictions;

2. Portfolio Optimization: Develop optimization models that improve performance and strategy capacity under risk and trading constraints;

3. Apply data mining, cross-sectional analysis, time-series analysis, and mathematical optimization to portfolio construction;

4. Partner with research, trading, and technology teams to test and apply research in live strategies.

Your Skills & Talents

1. PhD degree from a leading university in Mathematics, Computer Science, Operations Research, Engineering, Physics, or a related quantitative field;

2. Strong foundation in mathematics, modeling, probability, and statistics;

3. Strong Python and Linux skills, with experience in data analysis, model development, and research validation;

4. Deep knowledge of or practical experience in data mining, cross-sectional analysis, time-series analysis, or mathematical optimization;

5. Intellectual curiosity, rigorous research habits, and strong communication and teamwork skills.