Investigate each account for Anti Money Laundering (AML) investigation related process. Retrieve data from different sources and then perform data massaging to generate a final output file.
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Feed details from multiple sites in the AML system using RPA bots. Once the legacy alert is generated in AML system, compare the customer details with the negative details in the list available in the AML system.
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Perform AML name screening for true match cases for all new customer acquisitions & account modifications. Upload the data to AML application and check the matches thrown by the application.
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Use RPA bots to automate closure of list ids based on different filter checks.
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Perform AML name screening for all new customer acquisitions & account modifications. Upload the data to AML application and check the false matches thrown by the application.
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Perform anti-money laundering and fraud detection process for all new customers, check for true and false matches and with respective matches raise the suspicious transaction report (STR) for true match records.
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Auto-download the account numbers for which suspicious transaction report (STR) needs to filed on the basis of pre-configured rules. Retrieve the relevant data and generate consolidated output file.
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Automate the name scan of new customers through a maker and checker process executed through the AMLOCK system that is used for anti-money laundering and fraud detection. Take the values from the AMLOCK system on the basis of client account number. Verify the output with the automated checker process.
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