Joel Ong is a Research Scientist and quantitative researcher at Kepler, a GIC subsidiary in Singapore, with a decade of experience applying mathematically rigorous statistical methods to generate investment returns. He holds a PhD in Computer Science and a top-ranked honours degree from SUTD, and augmented his toolkit with a Certificate in Quantitative Finance. Joel focuses on structured prediction, unsupervised learning, and generative models, translating research-grade algorithms into production-ready trading signals. An active open-source contributor, he spends his free time designing and building software—bridging academic rigor with pragmatic engineering. Colleagues value his blend of deep theoretical knowledge and disciplined, data-driven decision making in high-stakes financial environments.
10 years of coding experience
Bachelor’s Degree (Hons), Information Systems Technology and Design, 4.81 / 5.00, Bachelor’s Degree (Hons), Information Systems Technology and Design, 4.81 / 5.00 at Singapore University of Technology and Design (SUTD)
Certificate In Quantitative Finance, Financial Mathematics, Certificate In Quantitative Finance, Financial Mathematics at CQF Institute
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