Courtney McGill is the Lead Machine Learning Engineer at Bank of New York Mellon within the Clearance and Collateral Technology (CCT) group.
CCT is responsible for two systemically important systems: Broker Dealer Clearance, which handles the Clearance and Settlement for FED-eligible securities
and Repo-Edge system, which runs the Global Repo Triparty business. Both systems handle multi-trillion USD of assets on daily basis.
Courtney's work is focused on leveraging machine learning and data science to look for opportunities to streamline market efficiency, increase resilience, and reduce overall industry costs.
Courtney holds a Bachelor's degree in Computer Science and Sociology from Colgate University.