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Marcos Lopez de Prado

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Marcos Lopez de Prado Snapshot

Guggenheim Partners

Financial Data Practicum

Marcos López de Prado is a Senior Managing Director at Guggenheim Partners, where he manages several multibillion-dollar internal funds. Over the past 18 years, his work has combined advanced mathematics with supercomputing technologies to deliver billions of dollars in net profits for his investors and firms. A proponent of research by collaboration, Marcos has published with over 30 leading academics, resulting in some of the most read papers in Finance (SSRN), multiple international patent applications on Algorithmic Trading, three textbooks, numerous articles in the top Mathematical Finance journals, etc. He serves on the editorial board of 5 academic journals, including the Journal of Portfolio Management (IIJ), and is the managing editor of, the first online community dedicated to financial quantum computing. 

Since the year 2010, Marcos has also been a Research Fellow at Lawrence Berkeley National Laboratory (U.S. Department of Energy’s Office of Science), where he conducts unclassified research in the mathematics of large-scale financial problems and HPC at the Computational Research Department. For the past 6 years he has lectured at Cornell University, where he currently teaches a graduate course in Financial Big Data and Machine Learning at the Operations Research Department. 

Marcos is a recipient of the 1999 National Award for Academic Excellence, which the Government of Spain bestows once a year to the best graduate student nationally. He earned a Ph.D. in Financial Economics (2003), and a second Ph.D. in Mathematical Finance (2011) from Complutense University, both "summa cum laude." Between his two doctorates, Marcos was a Postdoctoral Research Fellow of RCC at Harvard University for 3 years, during which he published dozens of articles in JCR-indexed scientific journals. In 2006, he was admitted into American Mensa with a perfect test score. Marcos has an Erdös #2 and an Einstein #4 according to the American Mathematical Society.


Course Taught:
Financial Data Practicum


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