Management Team
Marsha Lipton, CEO LinkedIn
Marsha Lipton is a co-founder and Managing Partner of Numéraire Financial. Marsha Lipton has more than 20 years of experience in the financial sector, having worked at Bankers Trust, DLJ, and JPMorgan in US and Europe and managing hedge fund Thor Capital Management. Her areas of expertise include fixed income, FX, commodities, and equity indices covering proprietary and client trading and risk management.
During her tenure, Dr. Lipton built the OTC option portfolio, fostered business relationship with credit derivatives and mortgage desks and corporate capital markets group, supervised development of the analytical framework and model calibration on a daily basis for fixed income, foreign exchange and credit products; she alsomade significant contribution to developing risk management and back-office systems and infrastructure. Dr. Lipton’s responsibilities included structuring, risk management, developing and coordinating analytics development, implementing proprietary trading algorithms, etc.
Ms. Lipton holds a PhD from the University of Chicago and MBA from the University of Chicago Business School. During her work as a Research Associate at James Franck Institute, she conducted independent research in chemical physics, published numerous papers in leading scientific journals, and delivered talks at various scientific conferences.
Alex Lipton, co-CIO - LinkedIn
Alex Lipton is Co-Founder and Chief Technical Officer of Sila, Partner at Numeraire Financial, Partner at Investimizer, Visiting Professor and Dean’s Fellow at the Hebrew University of Jerusalem, and Connection Science Fellow at MIT. He sits on Boards of Directors
of Sila, and Zilliqa, and on Advisory Boards of several organizations, including Clearmatics, Endor, Katalysen, Sygnum, and UCL Centre for Blockchain Technologies.
In 2016 he left Bank of America Merrill Lynch, where he served for ten years in various senior managerial roles including Quantitative Solutions Executive and Co-Head of the Global Quantitative Group. Earlier, he held senior managerial positions at Citadel Investment Group, Credit Suisse, Deutsche Bank, and Bankers Trust. In parallel, Alex held several prestigious professorial appointments at École Polytechnique Fédérale de Lausanne, NYU, Oxford University, Imperial College, and the University of Illinois. Before switching to finance, Alex was a Full Professor of Mathematics at the University of Illinois and a Consultant at Los Alamos National Laboratory.
In 2000 Alex was awarded the first ever Quant of the Year Award by Risk Magazine. Alex published eight books and more than a hundred scientific papers. His most recent book “Financial Engineering - Selected Works of Alexander Lipton” was published in May of 2018. He is currently working on his next book (with Adrien Treccani) “Blockchain and Distributed Ledgers: Mathematics, Technology, and Economics” which will be published in the first half of 2020.
In 2000 Alex was awarded the first ever Quant of the Year Award by Risk Magazine. Alex published eight books and more than a hundred scientific papers. His most recent book “Financial Engineering - Selected Works of Alexander Lipton” was published in May of 2018. He is currently working on his next book (with Adrien Treccani) “Blockchain and Distributed Ledgers: Mathematics, Technology, and Economics” which will be published in the first half of 2020.
Marcos Lopez de Prado, Executive Board Member - LinkedIn
Prof. Marcos López de Prado is an Executive Board Member at Investimizer. He is also the CIO of True Positive Technologies (TPT), and Professor of Practice at Cornell University’s School of Engineering. He has over 20 years of experience developing investment strategies with the help of machine learning algorithms and supercomputers. Marcos served as a principal and AQR’s first head of machine learning. Marcos 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 investments, 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 machine learning and supercomputing in the leading academic journals, is a founding co-editor of The Journal of Financial Data Science, has testified before the U.S. Congress on AI policy, and SSRN ranks him as the most-read author in economics. Among several monographs, Marcos is the author of several graduate textbooks, including Advances in Financial Machine Learning (Wiley, 2018) and Machine Learning for Asset Managers (Cambridge University Press, 2020).
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 is a faculty member. In 2019, he 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 is a faculty member. In 2019, he received the ‘Quant of the Year Award’ from The Journal of Portfolio Management.