Accelerated Success: Jinglin Zhang

Duke University’s Master’s in Financial Technology (FinTech) program is known for producing graduates who go on to become leaders in financial innovation. Among the current students preparing to follow that path is Jinglin Zhang, a student in Duke FinTech’s accelerated program.

Before joining the Duke FinTech program, Jinglin was a Market Risk Quant at a global bank. In her role, she worked on Basel-related risk frameworks, supporting the development and validation of market risk models. She analyzed risks metrics (VaR and stress testing results, assisted in model governance processes, and worked closely with risk and technology teams to ensure model accuracy and compliance. After working in this role for a few years, Jinglin decided she wanted to transition into a more quantitative and model-focused career. As Duke FinTech provides students the opportunity to gain skills in quantitative risk modeling, programming, and machine learning and their applications to finance, Jinglin decided to join the accelerated program.

Even though Jinglin just started in the program, she is already building the skill set she desires. She is applying Python programming to financial data analysis and modeling, as well as learning statistical and machine learning methods for risk modeling. As Jinglin’s goal is to apply Python, data analytics, and machine learning to portfolio risk and other risk modeling problems, these skills are essential for her to accomplish this goal. Further, she is gaining skills in data handling and quantitative problem-solving skills, which is preparing her to become the quantitative and model-focused professional she desires. Even in the short time, Jinglin has been able to connect theoretical concepts with real-world applications almost immediately.

Jinglin will graduate in May of 2027.