Yuying Song is a Vice President and quantitative strategist at Goldman Sachs with 11 years of experience applying advanced statistical modeling and data-driven methods to corporate treasury and liquidity risk management. With a Ph.D. in Statistics from Purdue, she has a strong academic foundation in large-scale data analysis, distributed computing (Hadoop/Spark), and visualization that she has leveraged to improve backtesting and treasury strategies. Her work spans end-to-end model development — from causal inference in AB testing during Amazon internships to production-ready liquidity models at a bulge bracket bank. Colleagues describe her as a pragmatic researcher who blends rigorous experimentation with practical risk controls, and she often brings academic techniques like divide-and-recombine to real-world financial problems. Based in Salt Lake City, she combines deep quantitative chops with hands-on implementation experience to navigate complex market stresses.
11 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Statistics, Bachelor's degree, Statistics at University of Science and Technology of China
Doctor of Philosophy (Ph.D.), Statistics, 3.87/4, Doctor of Philosophy (Ph.D.), Statistics, 3.87/4 at Purdue University
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Yuying Song - Vice President(Quantitative Strategist)