Financial Services / BankingSourced
Case Study: Valley Bank reduces anti-money-laundering alert volume 22% with DataRobot
Valley Bank Case StudySourced & dated by Case Study Desk
Key results
The challenge
Valley Bank's anti-money-laundering team needed to reduce manual work in predictive modeling while managing high false-positive rates across millions of transactions, and wanted to do so without hiring dedicated data scientists.
The solution
Valley Bank adopted the DataRobot AI Platform to automate model building and deployment for its financial-crimes and AML compliance workflows, making modeling accessible to its existing team.
“The DataRobot AI platform is so straightforward, I don't have to hire a data scientist to use it.”
CPChris PhillipsDirector of AML Compliance, Valley Bank
The results, in context
Valley Bank reduced total monthly alert volume by 22% while increasing the share of alerts escalating to cases by three percentage points — surfacing more genuinely suspicious activity while cutting noise.
Products used
DataRobot DataRobot AI PlatformDataRobot Predictive AI