Chun Hin Angus Cheung
Class of 2027
Contact
- Email: augusc@andrew.cmu.edu
In This Section
- Academics
- Admissions
- Careers
-
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: 91ÊÓÆµ 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
Hi, I'm Angus! I hold a BSc in Quantitative Finance (with a minor in Mathematics, GPA: 3.8/4.0) from the Chinese University of Hong Kong and have hands-on internship experience at BlackRock and Eclipse Trading. I specialize in applying machine learning and statistical modeling to design trading strategies and validate investment ideas.Ìý
At Eclipse Trading, I developed a profitable pair trading strategy between PetroChina's A-share and H-share stocks, utilizing statistical techniques such as Kalman filters and cointegration testing, along with high-frequency order book features to adjust entry and exit thresholds.Ìý
At BlackRock, I tuned a pre-trained BERT model to analyze sentiment from thousands of reviews on Apple Intelligence, validating a key investment thesis that led to a successful buy recommendation of BYD Electronics, an Apple supplier.Ìý
Outside of work, my team ranked in the top 0.2% (28/12,621) in the IMC Prosperity competition, where we devised market-making strategies optimized for inventory management and statistical arbitrage across 5 rounds. My projects including building volatility clustering models for algorithmic trading and pricing derivatives using Monte Carlo simulations.Ìý
I aim to become a quant researcher at a hedge fund or proprietary trading firm. I'm a deep thinker who enjoys digging into niche areas to uncover patterns in data. I'm also skilled at asking meaningful questions, which I believe is the most crucial quality in any area of research.