Sydney Fife
Class of 2027
Contact
- Email: sfife@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: CMU 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
Analyze. Plan. Execute.
I'm a dedicated worker and a lifelong learner. My curiosity drives me to dig deeper, ask questions, and constantly expand what I know. My passion for mathematics has shaped every step of my academic and career journey.
I'm drawn to quantitative finance because it blends mathematical thinking, complex systems, and constant growth. I thrive on structure and precision and embrace the challenge of building solutions for dynamic, real-world problems. Whether I'm writing code, communicating a concept, or studying markets, I bring focus and clarity to everything I do.
I graduated from Purdue University with Highest Distinction, earning a 3.99 GPA with a double major in Applied Mathematics and Computer Science. I have worked in a quantitative role at Bank of America, served as a teaching assistant for Ordinary Differential Equations and C Programming, contributed as a software engineering intern on a full-stack development team, and held leadership positions on community-centered engineering teams focused on real-world technical solutions.
I'm excited to bring my strengths in mathematics, programming, and problem-solving to a quantitative strategy team, where I can help build models and tools that support trading decisions, optimize performance, and drive insight. I'd welcome the chance to connect and discuss how I can contribute.