Derek Driggs is a quantitative researcher with a decade of experience applying optimisation and machine learning to finance and academia, currently at DRW after roles at Maven Securities and G-Research. He holds a PhD in Applied Mathematics from Cambridge (Gates Cambridge Scholar) and has published in top venues including Nature Machine Intelligence and JMLR. His work spans portfolio optimisation, mid-frequency equities, and NLP-driven quantitative signals, and has attracted attention from outlets like MIT Technology Review and the BBC. Comfortable moving research into production, he combines rigorous theoretical skills with practical trading experience and a track record of presenting results at institutions such as the Isaac Newton Institute.
10 years of coding experience
1 year of employment as a software developer
PhD in Applied Mathematics, PhD in Applied Mathematics at University of Cambridge
Master of Science (MS), Applied Mathematics, Master of Science (MS), Applied Mathematics at University of Colorado Boulder
A website dedicated to my research and academic interests
Contributions:54 pushes, 1 branch, 1 comment in 6 years 9 months
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