Marcos De Prado

Global Head - Quantitative Research & Development

Abu Dhabi Emirate, United Arab Emirates
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Summary

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Senior
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Top School
Marcos De Prado is a seasoned quantitative research leader and computational scientist with over a decade of experience designing and deploying machine-learning-driven investment strategies at global institutions. As Global Head of Quantitative Research & Development at ADIA and a founding figure behind ADIA Lab, True Positive Technologies, and the Journal of Financial Data Science, he blends academic rigor with large-scale asset management execution. His background includes leading ML teams at AQR and founding Guggenheim’s Quantitative Investment Strategies, where his units attracted multi-billion dollar institutional allocations. A professor of practice at Cornell and research affiliate at Lawrence Berkeley National Lab, he retains active ties to academia and foundational research in market microstructure and financial econometrics. Based in Abu Dhabi, he is notable for translating advanced postdoctoral-level mathematical finance into practical, high-capacity trading systems and for founding platforms that bridge research publication and industry adoption.
code10 years of coding experience
job7 years of employment as a software developer
bookPh.D., Mathematical Finance, Ph.D., Mathematical Finance at Universidad Complutense de Madrid
bookB.Sc., M.Sc., Econometrics and Quantitative Economics, B.Sc., M.Sc., Econometrics and Quantitative Economics at Universidad de Santiago de Compostela
bookPostdoctoral Research Fellow at RCC, Mathematical Finance, Postdoctoral Research Fellow at RCC, Mathematical Finance at Harvard University
bookVisiting Scholar, Market Microstructure, Visiting Scholar, Market Microstructure at Cornell University
bookPh.D., Financial Econometrics, Ph.D., Financial Econometrics at Universidad Nacional de Educación a Distancia - U.N.E.D.
languagesSpanish, English, Portuguese, Italian, German
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Github Skills (3)

data-science7
pdf1
deep-reinforcement-learning1

Programming languages (2)

HTMLPython

Github contributions (5)

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Data Science Projects Repository
Contributions:81 commits, 80 pushes, 1 branch in 2 years 4 months
data-science
Contributions:15 pushes, 1 branch in 1 day
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