Frank G is a Staff Engineer specializing in algorithmic trading with a decade of experience building low-latency, reliable trading and payments systems across fintech and digital banking. Based in Singapore, he progressed from Bank of America’s wholesale tech program through FX and payments roles at M-DAQ and Ant Financial to leadership positions at Sea and OKX, where he now drives algo trading engineering. He blends rigorous data science training from UC Berkeley with pragmatic, production-first engineering—his GitHub ethos “Talk is cheap. Show me the code.” reflects a bias for shipping working systems over theoretical designs. Known for simplifying trust in complex financial flows, he focuses on measurable, auditable solutions that scale in regulated and high-frequency environments.
9 years of coding experience
8 years of employment as a software developer
Master of Information and Data Science, Data Science, Master of Information and Data Science, Data Science at University of California, Berkeley
Bachelor of Computing (Hons), Information Systems, Bachelor of Computing (Hons), Information Systems at National University of Singapore
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