Anti-Money Laundering ML Modeling Approach in Banking

Anti-Money Laundering ML Modeling Approach in Banking

Explore anti-money laundering machine learning modeling approaches in this 18-minute conference talk from Data Science Conference Europe 2022, where Raiffeisen Bank's methodology for handling customer data privacy, identifying high-risk customers, and implementing preventive measures against money laundering is presented. Learn about practical applications of data science and machine learning in the banking sector, focusing on security measures and risk assessment strategies that help financial institutions combat fraudulent activities while maintaining customer privacy standards.