Joel Ong
Research Scientist
Singapore
Summary
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Rockstar🎓
Top SchoolJoel 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
English, Chinese
Github Skills (67)
python10
trading10
electrical-engineering10
quantitative-finance10
word2vec9
pandas9
corpus9
topic-modeling9
computer-architecture9
lda9
fasttext9
glove9
machine-learning9
word-embeddings9
data-mining9
Programming languages (6)
Github contributions (5)
statnlp-research/statnlp-research.github.io
Jul 2019 - Apr 2021
GitHub Pages to host StatNLP website directly from a GitHub repository.
Contributions:7 PRs, 64 pushes, 8 branches in 1 year 9 months
joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance
Jun 2018 - Sep 2018
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
Contributions:18 commits, 17 pushes, 1 branch in 3 months
machine-learningreinforcement-learningfinancepythonscikit-learn
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