FINRA’s Market Regulation and Technology teams recently wrapped up an extensive project to migrate the majority of FINRA’s market manipulation surveillance program to using deep learning in what is perhaps the largest application of artificial intelligence in the RegTech space to date. 

On this episode, we hear from Susan Tibbs, senior vice president of Market Manipulation in the Market Regulation Quality of Markets group, and from C.K. Chow, principal developer with the Technology team, about how the use of deep learning is making FINRA’s market surveillance data more digestible and increasing the efficiency and flexibility of the program. 

How are we doing? Take the FINRA Unscripted survey today. 

Resources mentioned in this episode:

Episode 13: How the Cloud and Machine Learning Have Transformed FINRA Market Surveillance

Episode 67: FINRA’s R&D Program: Exploring the Future of Advanced Analytics

Episode 68: Augmenting the Exam and Risk Monitoring Program with Data Analytics and Technology

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