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.

He previously held faculty appointments at Harvard Business School and UC Berkeley. He holds post-graduate degrees in Finance (M.Phil and Ph.D. from New York University), Computer Science (M.S. from UC Berkeley), an MBA from the Indian Institute of Management, Ahmedabad, B.Com in Accounting and Economics (University of Bombay, Sydenham College), and is also a qualified Cost and Works Accountant (AICWA). He is a senior editor of The Journal of Investment Management, Associate Editor of Management Science and other academic journals, and is on the Advisory Board of the Journal of Financial Data Science.

Prior to being an academic, he worked in the derivatives business in the Asia-Pacific region as a Vice-President at Citibank. His current research interests include: portfolio theory and wealth management ,machine learning, financial networks, derivatives pricing models, the modeling of default risk, systemic risk, and venture capital. He has published over a hundred and twenty articles in academic journals, and has won numerous awards for research and teaching. His recent book "Derivatives: Principles and Practice" was published in May 2010 (second edition 2016). Sanjiv's research may be accessed at https://srdas.github.io/research.htm.