Financial crimes in institutions have grown exponentially over the years, detecting credit card fraud in which simple and hybrid machine learning have been used for detection. In the world of financial transactions, the development of predictive models in the detection of financial fraud has become a fundamental element for the success of a secure transaction in banking organizations; in this sense, the study aimed to systematize research with machine learning models in the detection of money laundering in financial organizations, the methodological design used was theoretical systematic review, the search explored two databases following the PRISMA statement (Scopus, Web of Science), 189 articles were found, of which, after the eligibility criteria, 25 were systematized. The results refer that work was done with Support Machine Models (SVM), Nearest Neighbors (KNN), Artificial Neural Ne...