Anti-Money Laundering ML Modeling Approach in Banking
Data Science Conference via YouTube
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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.
Syllabus
Anti-Money Laundering ML Modelling Approach | Gizem Akar | DSC Europe 2022
Taught by
Data Science Conference
Reviews
4.0 rating, based on 2 Class Central reviews
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This lecture is very Informative. I enjoyed much and I learned many new things.
Thank you so much for sharing insight. -
Video is short and crisp about AML Topics. If you want to learn more than go for paid courses.....................................