Marcos López de Prado is a principal at AQR Capital Management, and its head of machine learning. Before AQR, he founded and led Guggenheim Partners’ Quantitative Investment Strategies (QIS) business, where he developed high-capacity machine learning strategies that consistently delivered superior risk-adjusted returns, receiving up to $13 billion in assets.
Concurrently with the management of investments, between 2011 and 2018 Marcos was also a research fellow at Lawrence Berkeley National Laboratory (U.S. Department of Energy, Office of Science). He has published dozens of scientific articles on machine learning and supercomputing in the leading academic journals, and SSRN ranks him as one of the most-read authors in economics. Among several monographs, he is the author of the graduate textbook Advances in Financial Machine Learning (Wiley, 2018). In 2019, Marcos received the Quant of the Year Award from The Journal of Portfolio Management.
Marcos earned a PhD in financial economics (2003), a second PhD in mathematical finance (2011) from Universidad Complutense de Madrid, and is a recipient of Spain's National Award for Academic Excellence (1999). He completed his post-doctoral research at Harvard University and Cornell University, where he teaches a financial machine learning course at the School of Engineering. Marcos has an Erdős #2 and an Einstein #4 according to the American Mathematical Society.
RECENT ACADEMIC CONTRIBUTIONS
Quant of the Year 2019, The
Journal of Portfolio
Author, Advances in Financial Machine Learning (Wiley, 2018).
Co-editor, Cambridge Elements in Quantitative Finance.
Member of the advisory board, The Journal of Portfolio Management.
Co-editor, Journal of Financial Data Science.
Member of the board of directors, International Association for Quantitative Finance.
Adjunct professor, Cornell University, Special Topics in Financial Engineering V (ORIE 5256).
Over 50 peer-reviewed publications in scientific journals, including:
Notices of the
American Mathematical Society
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)
Quantitative Finance (JCR IF: 1.170)
Journal of Computational Finance (JCR 5Y IF: 0.831)
Journal of Portfolio Management (JCR IF: 0.812)
Journal of Risk (JCR IF: 0.627)