Jonathan Hon is a Senior Quantitative Trader with 12 years of experience applying quantitative research, algorithmic execution and Python development across prop trading and top-tier banks. He blends hands-on trading experience from Starmark—where he built automated futures spread systems, eigenvector-based signals and real-time trader tooling—with institutional quantitative development at JPMorgan, BofA Merrill Lynch and NatWest Markets. At Pythia Sports he now applies that combination of research, execution and risk analytics to sports-driven markets, retaining a strong focus on automation and data visualisation. Comfortable both coding production Python systems and deriving statistical signals in Matlab/VBA historically, he excels at turning complex market structure into robust, low-latency workflows. An applied mathematician by training (BSc Mathematics, Warwick), he has a rare mix of market-making instincts and engineering rigor that speeds strategy iteration and execution.
12 years of coding experience
8 years of employment as a software developer
BSc Mathematics, BSc Mathematics at University of Warwick
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