(NY) Rajesh T. Krishnamachari: Big Data and AI Strategies

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.