Summary
Yutong Zhang is a software engineer based in Seattle with eight years of experience bridging quantitative finance and production software, currently building systems at Meta. Trained in Financial Engineering (Sichuan University) and dual master’s degrees from Duke in Quantitative Financial Economics and ECE, she brings strong numerical modeling skills and practical engineering discipline to data- and performance-sensitive problems. Her background includes implementing IVX and Three-Pass Regression Filter models from scratch, large-scale data preprocessing, and deploying Python-based ranking and crawling systems for A-share markets, demonstrating both research rigor and product impact. At Duke she taught databases, algorithms, and algorithmic trading, reflecting an ability to explain complex technical material and mentor others. Known for turning experimental factor-reduction techniques into better-than-PCA results in volatility forecasting, she blends quantitative insight with hands-on software delivery.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Financial Engineering, GPA 3.9/4.0, Bachelor's degree, Financial Engineering, GPA 3.9/4.0 at Sichuan University
Master of Science - MS, Quantitative Financial Economics, GPA 3.9/4.0, Master of Science - MS, Quantitative Financial Economics, GPA 3.9/4.0 at Duke University
London School of Economics and Political Science