Pin-Hua Angelina Chen
Class of 2027
Contact
- Email: pinhuac@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 does a person become a great rocket scientist on Wall Street? Pin-Hua (Angelina) Chen graduated from National Taiwan University in 2025 with a Bachelor's degree in Accounting. During her undergraduate studies, she earned the Presidential Award (top 2%) and immersed herself in mathematics and programming. In particular, she excelled in master-level classes such as Stochastic Modeling and Econometrics, where she used a regression model to predict the cost of capital based on the ESG reports. Furthermore, she applied her strong programming skills in Python and statistical analysis expertise as a research assistant in the FinDA Research Lab, where she researched the relationship between AI adoption and M&A performance. During her internship at Klook, she built an LDA model to cluster customer reviews, resulting in a 13% increase in booking rates. At the MSCF program, Pin-Hua plans to leverage her interest in quantitative problem-solving and financial analysis. After graduation, Pin-Hua seeks a role in quantitative research or asset management, where she can bring her extensive knowledge and experience with Python and statistical modeling to help retrieve accurate and useful data in the fast-paced financial sector. She is available to meet on Zoom or chat in person to show how she can add value to your company.
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