Enhancing Anti-Money Laundering (AML) Programs with Automated Machine Learning for Credit Unions & Regional Banks

Enhancing Anti Money Laundering with Automated Machine Learning Resource card v2.0

Credit Unions and Regional Banks face great challenges from an AML standpoint for several reasons. Large banks have more funds available to maintain expensive compliance programs and for absorbing big fines when non-compliant. Smaller financial institutions need to be more and more efficient in identifying suspicious behaviors as the costs of maintaining AML compliance continues to grow. Furthermore, smaller financial institutions might be perceived as softer targets for cash-based activities like structuring deposits to avoid detection. Automated machine learning provides the ability to more efficiently monitor for suspicious activity.


Justin Dickerson, General Manager of Global Finance for DataRobot, and Dan Yelle, a Customer-Facing Data Scientist for DataRobot have decades of combined experience applying data science and machine learning to solve business problems in the FinTech, Insurance, and Banking industries. They work closely with partners in the Financial Services industry to ensure their machine learning initiatives are successful.


In this webinar, Justin and Dan show how automated machine learning can be used to reduce false positive rates, thereby improving the efficiency of AML transaction monitoring and reducing costs.

Enhancing Anti Money Laundering with Automated Machine Learning Resource card v2.0

You'll discover how Automated Machine Learning provides:

  • The ability to develop and refresh AML predictive models at any time
  • The ability to deploy models with a click of a button
  • The ability to operationalize AML models by following a process that is user-centric


  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • DataRobot allows us to understand the data that’s being fed into our models without blindly feeding whatever we get into our system. DataRobot makes my team very effective.
    Deena Narayanaswamy
    Deena Narayanaswamy

    Head of Data Insights, Avant

  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.