Christopher Jones is a quantitative researcher with 13 years of experience applying machine learning and AI to high-stakes trading and finance, currently building research at Jump Trading after leadership roles in data science at Cerberus. He holds a PhD in Particle Physics from Oxford, where he led DAQ software for the SNO+ experiment and developed ML-driven physics analyses—an unusual scientific-to-finance trajectory that fuels his rigorous, experimental approach to model building. His background spans equities, FX and commodity/freight markets, shipping production-grade trading signals and cloud trading infrastructure. Equally comfortable with research and production, he has a track record of turning complex data sources (including satellite feeds) into operational strategies and fast, scalable systems. Based in Stony Stratford, he combines academic rigor with hands-on engineering and a founder’s mindset from co-founding a fast event-parsing consumer app.
13 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Particle Physics, Doctor of Philosophy (Ph.D.), Particle Physics at University of Oxford
MSci Physics, Physics with a Year in Europe, MSci Physics, Physics with a Year in Europe at Imperial College London
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