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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?
avatar

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?

the business case started with a bunch of data in a google sheet where you had to figure out where the problem was (in this case customers passing the KYC and being active on the platform) and ask relevant questions (marketing channels, creatives, conversion rates for each etc) to receive the extra data; super important to formulate your answer in a MECE format and summarize it all at the end
avatar

Strategy and Operations Manager

Interviewed at Revolut

4★
Aug 4, 2025

the business case started with a bunch of data in a google sheet where you had to figure out where the problem was (in this case customers passing the KYC and being active on the platform) and ask relevant questions (marketing channels, creatives, conversion rates for each etc) to receive the extra data; super important to formulate your answer in a MECE format and summarize it all at the end

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