The Rising Tide of AI in Trade Surveillance: Adapting to an Increasingly Complex Regulatory Landscape and Solving for False Positives
Written by: Joe Schifano, Global Head of Regulatory Affairs at Eventus In recent years, the financial industry has faced mounting pressure from regulators, driving significant transformation within compliance functions. At the National Introducing Broker’s Association (NIBA) event at DePaul University on July 11th, I had the privilege of discussing the potential role of artificial intelligence (AI) in this space with Renato Mariotti and John Falck. The discussion highlighted the existing struggles compliance teams face, the increasing consideration of AI, how regulators are responding to greater use of AI in financial markets, and how companies like Eventus are already leveraging machine learning (ML) to enhance trade surveillance operations. My comments below are focused on trade surveillance. The Escalating Complexity of Trade Surveillance Trade surveillance has always been essential to maintaining compliance in financial markets, but its complexity has surged due to expanding regulatory frameworks and an increase in enforcement actions. Regulations...