Marcos De Prado
Global Head - Quantitative Research & Development
Abu Dhabi Emirate, United Arab Emirates
Summary
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Senior🎓
Top SchoolMarcos 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.
10 years of coding experience
6 years of employment as a software developer
Ph.D., Mathematical Finance, Summa Cum Laude, Ph.D., Mathematical Finance, Summa Cum Laude at Universidad Complutense de MadridB.Sc., M.Sc., Econometrics and Quantitative Economics, B.Sc., M.Sc., Econometrics and Quantitative Economics at Universidad de Santiago de CompostelaPostdoctoral Research Fellow at RCC, Mathematical Finance, Postdoctoral Research Fellow at RCC, Mathematical Finance at Harvard UniversityPh.D., Financial Econometrics, Summa Cum Laude, Ph.D., Financial Econometrics, Summa Cum Laude at Universidad Nacional de Educación a Distancia - U.N.E.D.Visiting Scholar, Market Microstructure, Visiting Scholar, Market Microstructure at Cornell University
Spanish, English, Portuguese, Italian, German
Github Skills (13)
science8
machine-learning7
python7
pandas7
data-science6
data-analysis6
arxiv2
reinforcement-learning1
financial1
pdf1
deep-reinforcement-learning1
deep-learning1
gradient1
Programming languages (2)
Github contributions (5)
lcamposgarrido/data-science_projects
Dec 2016 - Apr 2019
Data Science Projects Repository
Contributions:81 commits, 80 pushes, 1 branch in 2 years 4 months
data-analysispythonsciencedata-sciencemachine-learning
lcamposgarrido/axpo_smartcalls
May 2023 - May 2023
Contributions:15 pushes, 1 branch in 1 day
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