Case Study: Large European Bank reduces AML false positives with ThetaRay

Large European Bank - Customer Case Study

Large European Bank partnered with ThetaRay to tackle growing anti-money laundering and counter-terrorist financing challenges across its retail and corporate banking operations. The bank’s legacy transaction monitoring system was missing new AML risks, generating too many false positives, and forcing analysts to manually review large volumes of alerts under a zero-false-negatives policy.

ThetaRay implemented its Financial Crime Detection solution, using unsupervised machine learning and big data analytics to analyze customer and transaction behavior across multiple data sources. The result was a 30% reduction in false positives, the detection of previously unknown suspicious activity, and identification of reportable events up to 8 months earlier than the legacy system, with the bank moving forward to a bank-wide rollout.