Summary
Zijie Zhao is a quantitative researcher at Millennium with eight years of experience blending academic rigor and production trading systems, having completed a Ph.D. in Computer Science at MIT. His work focuses on statistical arbitrage, financial time-series forecasting, finLLMs, and reinforcement learning for portfolio management, with hands-on experience deploying ML modeling and infrastructure in global markets. Prior internships at Quantbot, Minghong, Ubiquant, and ByteDance show a track record of adapting deep learning techniques to alpha research and recommendation systems. Trained also in biostatistics and biology, he brings a multidisciplinary perspective that helps bridge probabilistic modeling, numerical methods, and practical trading applications. Notably, he has taught computing foundations at Harvard, signaling strong communication skills alongside technical depth.
9 years of coding experience