Marcos López de Prado is a hedge fund manager, entrepreneur, inventor, and professor. He has helped modernize finance for the past 25 years, by pioneering machine learning and statistical inference methods, and by implementing the Big Science paradigm of national laboratories at some of the largest investment corporations. In recognition of this work, Marcos has received various scientific and industry awards, including the National Award for Academic Excellence (1999) by the Kingdom of Spain, the Quant Researcher of the Year Award (2019) by Portfolio Management Research, the Buy-Side Quant of the Year Award (2021) by Risk.net, and the Bernstein Fabozzi / Jacobs Levy Award (2024) by The Journal of Portfolio Management. Since 2018, the Social Science Research Network (SSRN) has ranked him as the most-read author in Economics.

Marcos serves currently as global head of quantitative research and development at the Abu Dhabi Investment Authority (ADIA), one of the largest sovereign wealth funds, and is a founding board member of ADIA Lab, Abu Dhabi's center for research in data and computational sciences. Before ADIA, he founded True Positive Technologies LP (TPT), a firm that researches and develops investment IP. TPT has advised clients with a combined AUM in excess of $1 trillion, and has licensed and sold several patents to some of the largest investment funds in 8-figure dollar deals. Before TPT, Marcos was a partner and the first head of machine learning at AQR Capital Management. He also founded and led Guggenheim Partners’ Quantitative Investment Strategies business, where he managed up to $13 billion in assets, and delivered an audited risk-adjusted return (information ratio) of 2.3.

Concurrently with the management of multibillion-dollar funds, since 2011 Marcos has been a research fellow at Lawrence Berkeley National Laboratory (U.S. Department of Energy, Office of Science). He has published dozens of scientific articles on financial machine learning and statistical inference in the leading academic journals, is a founding co-editor of The Journal of Financial Data Science, and has testified before the U.S. Congress on AI policy. Marcos is the author of several popular graduate textbooks, including Advances in Financial Machine Learning (Wiley, 2018), Machine Learning for Asset Managers (Cambridge University Press, 2020), and Causal Factor Investing (Cambridge University Press, 2023). Marcos earned a PhD in financial econometrics (2003), and a second PhD in mathematical finance (2011) from Universidad Complutense de Madrid. He completed his post-doctoral research at Harvard University and Cornell University, where he is a professor. Marcos has an Erdős #2 (via Neil Calkin) and an Einstein #4 according to the American Mathematical Society. 

 

AWARDS

Bernstein Fabozzi / Jacobs Levy Award 2024, Outstanding Paper, The Journal of Portfolio Management.
Buy-Side Quant of the Year 2021, Risk.net.
Quant Researcher of the Year 2019, Portfolio Management Research.
National Award for Academic Excellence, Kingdom of Spain (Ministerial Decree, 12/07/99).
Extraordinary PhD Award, Universidad Complutense de Madrid.

 

RECENT ACADEMIC CONTRIBUTIONS

Author, Causal Factor Investing (Cambridge University Press, 2023).
Author, Machine Learning for Asset Managers (Cambridge University Press, 2020). Published in English, Chinese, and Japanese.
Author, Advances in Financial Machine Learning (Wiley, 2018). Published in English, Chinese, Russian, Japanese, Korean, and Polish.
Inventor, U.S. Patent # 11,410,240: Tactical investment algorithms through monte carlo backtesting (Exp. 09/15/2040).
Founding board member, ADIA Lab.
Founding co-editor, The Journal of Financial Data Science.
Member of the advisory board, The Journal of Portfolio Management.
Professor of Practice, Cornell University, School of Engineering. Special Topics in Financial Engineering V (ORIE 5256).
Research Fellow, Lawrence Berkeley National Laboratory.
FinTech Faculty, Cornell University, School of Business.
About 100 peer-reviewed publications in scientific journals, including:

Information Fusion (JCR IF: 18.6)
Journal of Financial Economics (JCR 5Y IF: 7.513)
Review of Financial Studies (JCR 5Y IF: 5.864)
IEEE Journal of Selected Topics in Signal Processing (JCR IF: 4.361)
Mathematical Finance (JCR IF: 2.714)
Journal of Financial Markets (JCR 5Y IF: 2.234)
Critical Finance Review (JCR IF: 1.6)
Journal of Portfolio Management (JCR IF: 1.400)
Quantitative Finance (JCR IF: 1.170)
Notices of the American Mathematical Society (JCR IF: 0.912)
Journal of Computational Finance (JCR 5Y IF: 0.831)
Journal of Risk (JCR IF: 0.627)
American Mathematical Monthly (JCR IF: 0.361)