IS YOUR AML PROGRAM MODEL COMPLIANT?

Financial institutions are becoming increasingly reliant on quantitative models to detect financial crime and to drive efficiency and effectiveness within regulatory compliance programs. As a result there has been an increase in regulatory scrutiny regarding the risk the models themselves create.

Examples of model risk can range from use of bad or incomplete data to being outdated or just outright inappropriate for use in a specific AML program or financial institution. As this can result in the institution making bad decisions based on the model's output, the model has to continuously be assessed and tuned.

Do you have the processes in place to keep your models compliant?

Download our latest white paper to learn what regulators are looking for and guidelines for effective model risk management.

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