Money laundering is a profound global problem. Nonetheless, there little scientific literature on statistical and machine learning methods for anti-money laundering. In this paper, we focus in banks provide an introduction review of the literature. We propose unifying terminology with two central elements: (i) client risk profiling (ii) suspicious behavior flagging. find that characterized by d...

The increase in the level of money laundering is associated with digitalization and technification all spheres society, globalization financial markets, consequences quarantine measures caused by COVID-19 pandemic, new ways committing crimes. paper aims to identify peculiarities anti-money activities Ukraine outline approaches effectiveness combating country. current state problem analyzed base...

The fight against money laundering has been a central issue for governments worldwide, with initiatives aimed at preventing the flow of dirty money. value is estimated to range from 2% 5% global gross domestic product, thus, creating compelling and urgent need combat operations both national international levels.To effectively this issue, paper seeks analyse various aspects Anti-Money Launderin...