This session was recorded in NYC on October 22nd, 2019 and can be viewed here: https://youtu.be/UXTgjjOSfnI When two worlds collide: Machine Learning in the Corporate Bond Market Pricing in the corporate bond market is challenging because of its massive and opaque nature. At MarketAxess, we use Machine Learning along with our market microstructure expertise to come up with the most accurate and consistent price. Bio: Julien Alexandre is a Senior Research Analyst at MarketAxess after joining the firm in 2015. Mr. Alexandre is responsible for leading the development of Composite+, MarketAxess’ award-winning A.I.-powered pricing engine. Composite+ accurately predicts two-way prices for more than 24,000 fixed income securities by leveraging data from a variety of global sources including TRACE, Trax and the MarketAxess trading platform. Composite+ is integrated throughout the MarketAxess trading platform, including as a reference price for auto-execution capabilities, Open Trading pricing provision and transaction cost analysis reporting. Prior to joining MarketAxess, Mr. Alexandre was on the Algorithmic Trading Research team at ITG as a Quantitative Analyst, where he worked on the company’s equity algorithmic dark pool aggregator. Mr. Alexandre holds a master’s degree in financial engineering from Columbia University and a Masters in Engineering from the Ecole Centrale, Paris.