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Updated weekly · Last refresh Aug 30

AML RightSource Risk Analyst Interview Questions

The questions to prepare for a AML RightSource Risk Analyst interview. Questions from real interview reports rank first. Updated weekly.

47questions
~6htotal time
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1
Finance & AccountingStart here. 4 questions · ~32 min
Enhanced Due DiligenceMedium

Assesses your knowledge of EDD requirements and when it is applied.

Risk ManagementAML RightSource
AML and KYC AcronymsMedium

Evaluates your baseline understanding of core financial crime compliance terms.

AML RightSource
BSA and AML FundamentalsMedium

Evaluates your understanding of BSA/AML concepts and your ability to interpret assessment intent.

AML RightSource
Prioritization and Communication Under RegulationsMedium

Assesses your regulatory knowledge and your process for staying current with AML/BSA changes.

Financial RegulationsAML RightSource
2
Behavioral & Leadership40 questions · ~320 min
Staying Effective Without SupervisionMedium

Tests self-management, quality control, and ownership when working independently with minimal oversight.

Ownershipproductivityself managementAML RightSource
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3
More topics3 questions · ~24 min
Tell Me About YourselfEasy

Tests your ability to deliver a clear, relevant introduction tailored to the role at Aqr.

Competitive AnalysisGo-to-MarketAML RightSource
SQL Data Quality ReasoningMedium

Assesses your data validation skills and reasoning when inconsistencies appear.

Data AnalysisAML RightSource
Why You Want to Work HereEasy

Tests motivation and your ability to articulate a clear fit for the Research Analyst role.

Product-Market FitCompetitive AnalysisAML RightSource

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Flag Suspicious Driver Signup ClustersHard
Practice
Practice drill

Use CTEs, joins, aggregations, and CASE logic to flag Lyft driver accounts with suspicious early activity patterns.

fraud detectionData AnalysisRisk ManagementLyft
Flag Suspicious Lyft Trip CardsMedium
Practice
Practice drill

Use joins, CTEs, aggregations, and CASE logic to flag payment cards with anomalous Lyft trip activity.

Data AnalysisRisk Managementanomaly detectionLyft
Top Users by Recent Transaction VolumeMedium
Practice
Practice drill

Find the top 3 users by completed transaction volume in the last 30 days using joins and aggregation.

Data Analysisquery optimizationsqlTTier 1 BankRevolutChime
The finish line: interview-readyComplete all 47 questions plus 3 hands-on drills to finish this plan.