Traditional transaction monitoring systems historically haven’t been properly designed for capital markets products or activity—failing to enrich, connect, and operationalize data. This leads to extremely high volumes of false positives and ineffective detection of risks in Markets AML.
A contextual decision intelligence platform that leverages entity resolution and network analytics offers a new approach to generating insights that empower decision making. By enabling dynamic enrichment of data and providing the flexibility to design tailored detection models for unique markets risks, you can save time, reduce false positives and better identify hidden risks.
Join State Street’s Scott Nathan, Managing Director, Head of Innovation for AML & Risk, and Quantexa’s Elizabeth Bethoney, Head of Financial Markets, to learn more about how contextual monitoring can help detect your institution’s specific risks, manage those risks more effectively and drive down compliance costs.
In this webinar you will learn:
This session is eligible for 1 CFCS credits. A recording and slides are available to ACFCS members only.
Important note for ACFCS members: Please register using the same email address tied to your member account.