Rajesh T. Krishnamachari, Ph.D. 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.
· Improving models to decrease the chances of false predictions
· Automation technology being utilised as part of crisis solution
· Opportunities opening up for investment strategies post-Covid
During this session, WorldQuant’s David Rukshin will be talking with Bank of America’s Dr. Rajesh Krishnamachari about designing and scaling an efficient data strategy and platform, the opportunity for advanced technology such as AI and machine learning, and how these factors may continue to evolve in the future.