Das, Sanjiv
Sanjiv Das
Sanjiv Das is the William and Janice Terry Professor of Finance and Data Science at Santa Clara University’s Leavey School of Business and an Amazon Scholar at AWS. His research applies AI and machine learning to finance, alongside work on fintech, portfolio theory and wealth management, financial networks, derivatives pricing, default and systemic risk, and venture capital. He has published more than 130 articles in academic journals and has won numerous awards for research and teaching, including the Harry Markowitz Best Paper Award and best paper awards from the Western Finance Association.
Das joined Santa Clara in 2000. He founded and co-directed the M.S. in Business Analytics program, chaired the Department of Finance from 2007 to 2011, and has chaired the University Rank and Tenure Committee. He is a co-author of the textbook Derivatives: Principles and Practice and has written web books on data science, deep learning, and natural language processing.
Beyond campus, Das works as a research scientist with the Jupyter open-source team at AWS and contributes actively to open-source software. He is a senior founding editor of The Journal of Investment Management, serves on the Advisory Board of the Journal of Financial Data Science, and holds editorial positions at other journals.
Before joining Santa Clara, he held faculty appointments at Harvard Business School and UC Berkeley. Prior to his academic career, he worked in the financial derivatives business in the Asia-Pacific region as a Vice-President at Citibank. He holds a Ph.D. and M.Phil. in Finance from New York University, an M.S. in Computer Science from UC Berkeley, and an MBA from the Indian Institute of Management Ahmedabad.
