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IAQF & Thalesians Seminar Series: Rajesh T. Krishnamachari - Big Data and AI Strategies: Machine Learning and Alternative Data Approach to Investing

  • 05 Nov 2019
  • 6:00 PM (EST)
  • Fordham Gabelli School of Business, McNally Amphitheatre 140 West 62nd Street New York, NY 10023

Registration

Registration is closed


Big Data and AI Strategies: 

Machine Learning and Alternative Data Approach to Investing





A Talk by  

Rajesh T. Krishnamachari

Tuesday, November 5, 2019

5:45 PM Registration

6:00 PM Seminar Begins
7:30 PM Reception



    

Abstract

Talk will illustrate use of new data sources and modern analytical techniques to quantitative investing. Amongst new data sets, we will cover use of news sentiment, commercial transactions and satellite image data. We will also present applications of machine learning algorithms in stock selection, sector rotation and for timing of risk premia signals.



     

Biography

Rajesh T. Krishnamachari is responsible for leading Data Science initiatives within the Global Markets division of Bank of America. Prior to joining the firm in 2018, he was an investment strategist at JP Morgan, where he served on the Quant Council for Research and specialized on the application of machine learning algorithms to cross-asset systematic investing. He also serves as adjunct faculty for machine learning at New York University. Dr. Krishnamachari is a widely cited researcher with 2 books and 25 refereed publications across quantitative finance, applied mathematics and the social sciences.



Acknowledgments

Special thanks to the Fordham University Gabelli School of Business for hosting and sponsoring the seminar. 


About the Series

The IAQF's Thalesians Seminar Series is a joint effort on the part of the IAQF (www.iaqf.org) and the Thalesians (www.thalesians.com). The goal of the series is to provide a forum for the exchange of new ideas and results related to the field of quantitative finance. This goal is accomplished by hosting seminars where leading practitioners and academics present new work, and following the seminars with a reception to facilitate further interaction and discussion. 

 


Registration Fees:
Complimentary for IAQF members through this site
Thalesians Members can register here for $25
Non-Members: $25.00 by registering through this site