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HackerEarth aptitude assessment, take-home task related to big data analysis and SQL Use case from the interview: an automated Transaction monitoring system created and managed by a team of developers checks 1 million transactions over a time period t, and generates 1000 potential money-laundering related transactions for the AML team to review. The AML team consists of 10 AML professionals who review those transactions, and ultimately classify 300 of them as Money-Laundering transactions and 700 as non-Money-Laundering transactions. Questions: Describe various metrics to determine the efficiency of both the teams, how to ensure the system is working properly, where/at which level would you measure the efficiency for the AML team?
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Financial Crime - Strategy and Operations Manager

Interviewed at Revolut

4★
Sep 22, 2021

HackerEarth aptitude assessment, take-home task related to big data analysis and SQL Use case from the interview: an automated Transaction monitoring system created and managed by a team of developers checks 1 million transactions over a time period t, and generates 1000 potential money-laundering related transactions for the AML team to review. The AML team consists of 10 AML professionals who review those transactions, and ultimately classify 300 of them as Money-Laundering transactions and 700 as non-Money-Laundering transactions. Questions: Describe various metrics to determine the efficiency of both the teams, how to ensure the system is working properly, where/at which level would you measure the efficiency for the AML team?

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