Understand and methodologically analyze the different Risk Management models that best fit ML/TF Prevention, as well as their integration.

Prepare risk matrices under quantitative and qualitative methodologies, building measurement scales and precise risk indicators.

Understand the application of practical risk management in different types of financial and non-financial entities with practical and real examples.

Understand the new ML/TF risks, as well as their relationship with financial crimes.

Raise awareness about the importance of efficient ML/TF risk management, and how it impacts the generation of economic value in institutions. Inadequate management can also lead to an increase in the reputational risk of the institution.

Understand the working model with Compliance Audits to provide feedback on risk management correctly, as well as use forensic audit tools to investigate cases of financial crimes.

Analyze new technologies, the characteristics of the different types of financial crimes, as well as cybersecurity attacks in terms of prevention and how to establish control mechanisms.

Know the international standards that govern the commercial relationship of supervised entities (FATF, FATCA, NNUU, OCDE) and their relationship with other non-controlled DNFBP sectors.