Mingyuan Li
Class of 2027
Contact
- Email: mingyua5@andrew.cmu.edu
In This Section
- Academics
- Admissions
- Careers
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News
- 2025 MSCF Trading Competition
- A New Academic Year at MSCF
- Alumni Reflect on the MSCF Program鈥檚 30th Anniversary
- Breaking Barriers, Building Leaders: Women in Quant Finance
- Data Science in Finance
- Financial Engineering Salary
- High Stakes and Fair Values: 91视频 Students Face Off in the 2026 Market Making Game
- How to Become a Quant
- MSCF 30th Anniversary Celebration
- MSCF Advisory Board Member, Roni Israelov receives the 2024 Peter L. Bernstein Award
- MSCF Hosts 2025 Panel for Women in Data Science Pittsburgh
- MSCF Hosts 2nd Annual Datathon: Advancing Experiential Learning and Industry Connections
- MSCF Welcomes Rhonda Khan as Communication and Leadership Instructor and Coach
- MSCF Welcomes Shelli Faber as Associate Director of Career Services
- Quantbot Classroom Naming
- Squarepoint Foundation Deepens Partnership MSCF Through $100K Gift to Support Future Leaders
- Our Community
- Student Experience
Biography
What separates robust alpha from noise in complex markets? I graduated from the University of Michigan, where I majored in CS and Math. At CICC, Huatai Securities, and China Galaxy Securities, I built deep-learning alpha models and optimized high-frequency execution.
I aim to join a fast-paced quant team focused on uncovering valuable alphas and refining algorithmic trading strategies. I'll leverage Python and C++ to develop well-rounded models that filter signal from noise and boost reliability. My background in computational game theory and agent-based market simulations offers unique insights.
I'm available for a Zoom or in-person chat at your convenience. I bring energy and a strong foundation in both theory and practice. Let's connect if you're looking for someone who truly wants to compete in the market.