I. Introduction
In the ever-changing world of finance, the ability to remain vigilant in the detection of fraudulent actions is absolutely essential. As a result of the proliferation of digital transactions and the increasing complexity of fraudulent conduct, traditional rule-based systems usually fail to meet the challenges posed by the ever-evolving nature of financial crime. On the other hand, machine learning (ML) and big data analytics have the potential to offer a major improvement in the capability of financial systems to detect and prevent fraud, which might potentially result in an increase in profits.