Summary
Jonathan Tay is a senior portfolio manager specializing in systematic equities and quantitative asset management, with 11+ years designing machine learning-driven strategies across equities, managed futures and private markets. He currently oversees more than A$10bn in quantitative international equity portfolios at AustralianSuper, leading investment strategy, portfolio construction and risk management across sector, region and style tilts. His background blends rigorous financial engineering and ML — MSc in Financial Engineering (Columbia) and an MS in Computer Science (Machine Learning) — enabling production-grade ensemble predictors and scalable data processing for daily trading to multi-year tactical views. Jonathan has hands-on experience managing both managed futures and concentrated long-only books, and has built low-cost active programmes using smart-beta and quantitative alpha techniques. He also brings private markets insight from GIC’s Special Investments team, offering independent deal-level scrutiny and portfolio-level strategy. Colleagues describe him as a pragmatist who translates macro signals into robust, back-tested portfolio tilts that perform under real-world constraints.
10 years of coding experience
9 years of employment as a software developer
Anglo-Chinese School (I)
Master of Science (MSc), Financial Engineering, Master of Science (MSc), Financial Engineering at Columbia University in the City of New York
Raffles Junior College
Masters of Science, Computer Science, Machine Learning, Masters of Science, Computer Science, Machine Learning at Georgia Institute of Technology
Bachelor of Science (BSc), Mechanical Engineering, Bachelor of Science (BSc), Mechanical Engineering at UC Berkeley