Peng Cheng

Head of Machine Learning Strategies JP Morgan

As a member of JPMorgan Global Research, Peng Cheng leads the Big Data and AI Strategies research effort based in New York, and is responsible for developing cross asset investment strategies leveraging alternative data and advanced statistical techniques. Previously, he covered Equity Derivatives Strategies in London. Prior to joining the bank in 2010, he was a Convertible and Volatility strategist at Lehman Brothers/Barclays in New York. He holds a Master's degree from the University of California, Berkeley and is a CFA charterholder.

Conference Day One: March 15th 2021

Tuesday, June 30th, 2020

3:55 PM Panel – Navigating data challenges and common pitfalls with latest ML/AI Applications

·        Identifying at what point human intervention is necessary

·        Avoiding building models on spurious relationships

Check out the incredible speaker line-up to see who will be joining Peng.

Download The Latest Agenda