Yuchen Yue is a quant-focused Vice President with 9 years of experience applying physics-trained rigor to model validation and quantitative research in fixed income and equity trading. With a PhD background in AMO physics and hands-on experience building and validating mortgage-backed securities and interest rate models at Nomura, he blends experimental precision with production-grade Python engineering on Linux. He has produced signal-driven trading strategies—from Random Forest sector ETFs to VIX term-structure signals—and deployed automated live portfolio analytics and backtest frameworks. Past work includes developing a deep reinforcement learning SPY strategy with strong out-of-sample Sharpe performance, highlighting his ability to translate research into robust trading alpha. Based in New York, he bridges academic research at institutions like NIST and the University of Maryland with practical quant production, often validating model assumptions and risk sensitivities that directly influence desk positions. Notably, his background in ultra-cold atom experiments signals a penchant for tackling complex, noisy systems with data-driven, physics-informed approaches.
9 years of coding experience
7 years of employment as a software developer
The University of Maryland, College Park
Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at Tsinghua University
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