ML / TF risk management and fuzzy logic in banks rated AA customer factor

The research aims to analyze ML / TF risk management and fuzzy logic in banks with AA customer factor rating. Methodologically, a descriptive type was developed. As a result of the surveys carried out, it can be evidenced that there are deficiencies in complying with one of the most important policies, how it is, the policy know your client, as a consequence of the weaknesses identified, the following incidents are presented: Inadequate definition of the risk profile of the clients, generation of false alerts in the system due to lack of information from clients, difficulty for business officers in applying due diligence from clients, operational burden in monitoring operations that do not merit analysis. The policies and procedures of the manual on money laundering and financing of crimes such as terrorism must involve all officials of financial institutions.

Abstract licence: CC BY-NC-SA

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