Xinzhi Inez Yu
Class of 2027
Contact
- Email: inezy@andrew.cmu.edu
In This Section
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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
"How to extract alpha from market noise? I combine deep learning with behavioral finance to uncover hidden signals."
I hold degrees in finance (Fudan) and statistics/CS (Berkeley). My quant edge comes from three strengths: building predictive AI models (28.9% annual returns), decoding market psychology in tick data, and processing billions of observations at top China/HK hedge funds.
I seek to join an innovative hedge fund where I can apply my dual expertise in quantitative modeling and market behavior. My approach identifies opportunities others miss by blending technical rigor with trading intuition.
What sets me apart is my ability to translate complex data into actionable insights while understanding the human factors driving markets. I bridge the gap between models and real-world trading dynamics.
I'd welcome the chance to discuss how I can contribute to your team.
Fun Fact: I approach markets like a tea ceremony - both require detecting subtle patterns in chaos. (Though volatility models prove more predictable than the perfect brew!)