Summary
Jason Chong is a Senior Data Scientist based in Melbourne with five years of experience translating actuarial rigor into scalable ML and AI solutions. Trained in actuarial science at the University of Melbourne and Macquarie's Actuary Program, he blends probabilistic thinking with practical model deployment from his multi-year tenure at Quantium. He progressed from actuarial analyst roles into data science, shipping production models and contributing thought leadership as a writer for Towards Data Science. Comfortable across the end-to-end ML lifecycle, Jason focuses on robust, auditable models suited to commercial decision-making in finance and analytics. He brings an unusually strong grounding in actuarial methods to data science, helping teams quantify risk and uncertainty more precisely. Ambitious and communication-oriented, he pairs technical depth with the ability to explain complex models to non-technical stakeholders.
5 years of coding experience
4 years of employment as a software developer
Actuary Program, Actuarial Science, Distinction, Actuary Program, Actuarial Science, Distinction at Macquarie University
The University of Melbourne
Chinese, English