Wendy Li
Class of 2028
Contact
- Email: wendyli2@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’s 30th Anniversary
- Breaking Barriers, Building Leaders: Women in Quant Finance
- Data Science in Finance
- Financial Engineering Salary
- High Stakes and Fair Values: CMU Students Face Off in the 2026 Market Making Game
- How to Become a Quant
- Introducing the MSCF Quantitative Assessment
- 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
LinkedIn Profile
I am someone who thrives on extracting actionable signals from complex datasets and bridging theoretical mathematics with tangible market impact. I graduated from the University of Waterloo in 2026 with a degree in Mathematics. I pursued double majors in Mathematical Finance and Statistics, alongside a minor in Pure Mathematics. Throughout my undergraduate studies, I have gained a cross-sectional view of the financial industry from various internship opportunities. Having worked across the buy-side (a pension fund), the sell-side (a bank), and a regulator, my roles have spanned private market investments, risk management, quantitative modeling, market and factor research, and data analysis. These experiences have well connected my theoretical foundation with real-world applications, which further solidified my passion for quantitative research and investment analysis. My role as a Private Markets Modeling Intern at Ontario Teachers’ Pension Plan enhanced my ability to build models under uncertainty and integrate data-driven insights into business strategies. I recalibrated private-asset models and produced cross-asset reporting over a ~$150B book, quantifying exposure shifts and market drivers. These roles sharpened my technical skills in Python, R, SQL, and Excel/VBA, as well as my soft skills in communication, teamwork, and leadership.