Mulan Qin
Class of 2028
Contact
- Email: mulanq@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
Since high school, I’ve been fascinated by complex, adaptive systems and the idea of understanding them through a computational lens. I followed that curiosity into a Bachelor of Science in Data Science and Economics with a minor in Mathematics, graduating with First Class Honors and a place on the President's Honour Roll from the National University of Singapore. During my studies, I built a rigorous foundation in data analytics, optimization, and machine learning, and served as a teaching assistant for Programming Methodology and Data Structures and Algorithms for three semesters. At Tencent, I joined the strategy team as a data science intern and built rule-based machine learning models for fraud detection, refining them through iterative feedback loops to support preventive alerts across live traffic. The following summer, I worked on the quantitative trading analyst team at Glencore, where I designed a backtesting framework for trading strategies, built a forecasting pipeline for net positions in COT data, and engineered alternative data feeds for crude trading. These experiences solidified my dedication to applying analytical skills for tangible impact under an intellectually challenging environment, and I am eager to channel this capability into a career in quantitative research within the financial services industry. I would welcome the chance to connect and discuss how I can contribute to your team from day one.