Data Science Interview Questions Data Science Interview Questions 1. What...
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Answer:
Money laundering is the process of disguising illegally obtained funds to make them appear legitimate. It typically involves three stages: placement (introducing illicit funds into the financial system), layering (moving funds to hide their origin), and integration (reintroducing funds as legitimate assets).
Answer:
KYC (Know Your Customer) is the process of verifying a customer’s identity and assessing their risk profile. It helps prevent fraud, money laundering, terrorist financing, and regulatory penalties. Strong KYC ensures institutions understand who their customers are and the nature of their financial activities.
Answer:
Customer Due Diligence (CDD) is the standard verification process for customers.
Enhanced Due Diligence (EDD) applies to high-risk customers such as PEPs or clients from high-risk jurisdictions and involves deeper scrutiny, including source of funds and ongoing monitoring.
Answer:
Multiple cash deposits just below reporting thresholds (structuring)
Sudden spike in transaction activity
Frequent transfers to high-risk countries
Inconsistent transaction behavior compared to customer profile
Reluctance to provide source of funds
Answer:
First, I would review the transaction history and customer profile to confirm unusual behavior. Then, I would document findings and escalate the case according to internal procedures. If required, I would prepare a Suspicious Activity Report (SAR) while maintaining confidentiality.
Answer:
A Politically Exposed Person (PEP) is someone who holds a prominent public position and may present higher corruption risk. PEPs require Enhanced Due Diligence, senior management approval, source of wealth verification, and ongoing monitoring.
Answer:
The Risk-Based Approach means allocating compliance resources according to the level of risk. High-risk customers receive enhanced monitoring, while low-risk customers undergo standard due diligence. This ensures efficiency and regulatory compliance.
Answer:
Improve customer risk profiling
Refine alert thresholds
Use better data quality
Apply machine learning models
Continuously tune monitoring scenarios
Reducing false positives improves efficiency without increasing risk exposure.
Answer:
A SAR is a confidential report filed with regulatory authorities when suspicious transactions or activities are detected. It includes detailed analysis, customer information, and reasons for suspicion.
Answer:
AML compliance protects institutions from regulatory fines, reputational damage, and criminal misuse of services. It ensures legal compliance and protects the integrity of the financial system.
Answer:
This may indicate structuring to avoid reporting thresholds. I would review the account history, identify patterns, document findings, and escalate the case for further investigation and potential SAR filing.
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