M.S. in Computational Finance - Carnegie Mellon University (2024)
B.S. in Quantitatice Finance - Honk Kong University of Science and Technology
What is your educational/professional background, and how did you become interested in quant finance?
Before joining MSCF, I studied Quantitative Finance at the Hong Kong University of Science and Technology. My interest in quantitative finance grew when I realized how powerful quantitative methods can be in understanding and managing financial markets. In particular, during my sophomore year, I participated in an NLP project focused on sentiment analysis of financial texts. I was fascinated by how machine learning techniques could be applied to extract meaningful signals from unstructured data and how these insights could be leveraged in financial decision-making.
Describe your current role and the most fulfilling aspects of your job.
I currently work as a Quantitative Strategist at Deutsche Bank, focusing on credit derivatives. I design and enhance internal tools for risk monitoring, PnL allocation, and analytics to help traders make faster and more informed decisions. What I find most fulfilling is the tangible impact of my work: the tools I build are directly integrated into the trading workflow, enabling the desk to react faster, manage risk more effectively, and improve overall decision quality in a fast-moving market environment.
What are the top skills required for success in your role/job?
The key skills in my role are: Strong quantitative and analytical abilities, Solid programming skills ( Python, C++ and front-end frameworks like Angular), Practical problem-solving mindset and ability to work under time pressure, & Clear communication and collaboration with trading, risk, and operation teams.
How did the MSCF program prepare you for your career?
The MSCF program provided a rigorous foundation in both financial theory and quantitative methods. Courses in derivatives, stochastic calculus, and risk management helped me build a solid technical base, while hands-on projects taught me how to apply those skills to real problems. The program’s emphasis on teamwork and practical application was especially valuable.
What is your favorite memory from your time in the MSCF program?
My favorite memory was collaborating on team projects late into the night with classmates. The process of brainstorming, problem-solving, and coding together not only sharpened my skills but also built strong friendships!
What advice would you give to someone considering the MSCF program?
Take full advantage of the program’s rigor and resources. Strengthen your technical skills early on, stay curious about financial markets, and actively collaborate with peers. The program is challenging, but the knowledge, skills, and network you gain will be incredibly valuable for your career.
