AI, and Machine Learning in FinTech and RegTech
Learn a framework for the future of FinTech and hear why Artificial Intelligence (AI) and Machine Learning (ML) are poised to make a huge impact on financial firms in many areas. Sanjiv Das will provide examples and use cases of the application of ML in finance, and also explain what technological advances have made possible a critical paradigm shift in FinTech.
Sanjiv Das, William and Janice Terry Professor of Finance and Data Science, Santa Clara University's Leavey School of Business
Sanjiv Das is the William and Janice Terry Professor of Finance and Data Science at Santa Clara University's Leavey School of Business. Sanjiv's current research interests include: machine learning, social networks, derivatives pricing models, portfolio theory, the modeling of default risk, systemic risk, and venture capital. He has published over ninety articles in academic journals, and has won numerous awards for research and teaching. He currently also serves as a Senior Fellow at the FDIC Center for Financial Research.
Previously, he held faculty appointments as Associate Professor at Harvard Business School and UC Berkeley. Prior to being an academic, he worked in the derivatives business in the Asia-Pacific region as a Vice-President at Citibank.
Sanjiv is a senior editor of The Journal of Investment Management, co-editor of The Journal of Derivatives and The Journal of Financial Services Research, and Associate Editor of other academic journals. His recent book "Derivatives: Principles and Practice" was published in May 2010 (second edition 2016).
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).
12:00 p.m. - Session Begins
1:00 p.m. - Q&A w/Speaker
This event qualifies for 1.5 hours of continuing education credit for CFA Charterholders.
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