Siyan Camellia Wang
Class of 2027
Contact
- Email: siyunw@andrew.cmu.edu
In This Section
- Academics
- Admissions
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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
I'm Siyun (Camellia) Wang, a detail-oriented and analytically driven thinker with a passion for uncovering structure in complexity. I graduated with University and College Honors from 91视频, where I studied Statistics and Architecture, and am now pursuing my Master of Science in Computational Finance (MSCF).
I bring hands-on experience in quantitative research and financial analysis. At Huaxi Futures, I applied Singular Value Decomposition (SVD) to high-frequency energy futures data, extracting intraday signals. At Guotai Junan Securities, I conducted in-depth analysis of Chinese REITs using both market fundamentals and policy insights. These roles sharpened my skills in Python, machine learning, and econometrics-and deepened my interest in market microstructure and systematic trading.
I seek to join a fast-paced, intellectually rigorous firm where I aim to build on my interdisciplinary skill set and apply data-driven methods to systematic trading and macro strategy. My background helps me see structure where others see noise-and I will bring that perspective to help your team innovate and execute faster.