Technology is now a crucial component in the fight against financial crime. However, Anti-Money Laundering transaction monitoring can still present several challenges for data scientists.
Combining the power of data science and machine learning techniques to financial crime prevention strategies, provides numerous benefits to the work of compliance teams. This report outlines the challenges and explains how to overcome these, to attain tangible results, by adopting pioneering methods for financial crime prevention.
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