Summary
Guobin Liu is Head of Quantitative Trading based in Hong Kong with 9 years of experience building systematic trading systems and ML-driven fintech products. He combines a psychology background with deep technical skills to design multi-strategy arbitrage, trend-following, and HFT infrastructures that achieved 224% cumulative returns and kept drawdowns under 8%. He’s implemented low-latency asynchronous execution, on-chain MEV arbitrage smart contracts optimized for gas, and multi-objective ML optimization using Hyperopt. Previously he built high-concurrency model-serving platforms and production-grade predictive pipelines for lending and user behavior, delivering AUCs above 0.85. Known for blending behavioral insight with engineering rigor, he bridges research, production deployment, and risk control to turn anomaly detection and optimization into repeatable trading alpha.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, PSYCHOLOGY, Bachelor of Science - BS, PSYCHOLOGY at Beijing Normal University
Nanodegree, Deep Learning, Nanodegree, Deep Learning at Udacity