Summary
Jirong Huang is a data-driven quantitative trader based in Singapore with a decade of experience building and managing systematic investment strategies across traditional and crypto markets. He has led multi-billion AUM at Eastspring Investments, developing machine-learning and NLP-based factors to generate alpha across global mandates and overseeing beta and smart beta portfolios with rigorous risk controls and ESG considerations. He also engineered automated trading infrastructure and contributes open-source Python tools for backtesting and arbitrage (bootstrapindex, fundingrate, liquiditypoolcalculator), showcasing hands-on software engineering alongside portfolio management. Currently pursuing a remote MS in Computer Science at Georgia Tech, and with a strong foundation in statistics and economics, he blends theory with practical execution at the intersection of finance, data, and engineering. Known for a disciplined, downside-first philosophy and a preference for liquidity and delta/gamma-neutral approaches, he seeks scalable, principled solutions rather than shortcuts.
11 years of coding experience
6 years of employment as a software developer
Meridian Junior College
Bachelor's degree/Graduate Diploma, Computer Science, Bachelor's degree/Graduate Diploma, Computer Science at University of Adelaide
Bachelor of Science (BSc), Economics and Finance, Bachelor of Science (BSc), Economics and Finance at Singapore Management University
Bloomberg Assessment Test
Chartered Market Technician (CMT), CMT, Chartered Market Technician (CMT), CMT at Market Technicians' Association
CFA Level 1, CFA Level 1 at Chartered Financial Analyst (CFA) Institute
Master of Science - MS, Statistics, Master of Science - MS, Statistics at National University of Singapore
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Algorithmic Trading Program, Algorithmic Trading Program at QuantInsti
Inha University