Journal of Economics & Management Research

The global financial system faces significant challenges in combating financial crimes such as money laundering, terrorist financing, and fraud. The increasing sophistication of criminals and the rapid evolution of technology necessitate robust systems and processes to detect, prevent, and report suspicious activities. Effective testing strategies play a crucial role in ensuring the reliability, accuracy, and compliance of these systems. This paper presents an extensive testing approach for systems combating financial crime, focusing on key areas such as transaction monitoring, sanctions screening, and customer due diligence. The proposed approach encompasses risk-based testing, data-driven testing, and advanced techniques like machine learning and network analysis. The paper also emphasizes the importance of collaborative testing efforts involving multiple stakeholders, including financial institutions, regulators, and technology providers. By adopting a comprehensive and proactive testing approach, financial institutions can strengthen their defenses against financial crime and contribute to the overall integrity and stability of the financial ecosystem.