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Zerui Zhou is a Quantitative Analyst at UBS since November 2020, specializing in rates options and volatility analysis, with experience in linear/non-linear rates and inflation derivatives. Prior roles include a Quantitative Researcher at quantPort, where Zerui constructed factor models for ETFs, and conducted research on PCA/ICA techniques, as well as a Summer Analyst at the same company. As a Research Assistant at Peking University, Zerui contributed to deep learning research focused on cancer cell image segmentation, achieving high accuracy using advanced neural network techniques. Early experience includes building alpha trading strategies in the Chinese A-share market as a Quantitative Analyst at All-Weather Quantitative Technology. Academic qualifications include a Master of Science in Mathematics in Finance from New York University and dual bachelor's degrees in Economics and Physics from Peking University.