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Transaction Monitoring

After being fined for violating local AML regulations, a bank was required to conduct an 18-month transaction lookback to remediate deficiencies found in their transaction monitoring program.

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18-Month Alert Lookback

After being fined for violating local AML regulations, a bank was required to conduct an 18-month transaction lookback to remediate deficiencies found in their transaction monitoring program.

Data Cleansing

The original data provided by the bank was incomplete and noisy. To separate noise and useful information, we undertook a cleansing exercise. prior to starting the analysis. Using SQL and Python, we applied advanced analytics, pattern analysis, and indicator analysis to organize, deduplicate and consolidate the data.

Transaction Analysis Using Machine Learning Models

After developing product-specific scenarios using our industry expertise, we leveraged machine learning to rank data in certain categories and
applied a random forest model to conduct preliminary reviews. We incorporated entity-level diligence information using DDIQ as a model input to enhance associated party risk considerations.

Manual Adjudication Supplement

Finally, we used our team to perform a manual review on the escalated transactions and documents containing red flags.

Analytics-Driven Reviews of
Unstructured Trade Data

To review more than 3,000 trade finance transactions for red flags as part of the lookback, we leveraged OCR and pattern recognition technology to help screen information within nearly 100,000 associated documents for sanctions hits and trade finance red flags.

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