Preview Questions Fraud Analyst | Role Specific Skill

Question 1: How does the use of machine learning enhance risk identification in fraud analysis?

Which action should you take?

Choose only one option

By simply flagging transactions above a certain monetary threshold

By adapting and learning from new fraud patterns in real-time

By reducing the need for human oversight in risk analysis

By automatically categorizing transactions as fraudulent or legitimate

Question 2: Which of the following regulatory frameworks governs anti-money laundering (AML) procedures in the BFSI industry?

Which action should you take?

Choose only one option

GDPR (General Data Protection Regulation)

FATF (Financial Action Task Force)

Dodd-Frank Act

Basel III

Question 3: In BFSI fraud investigations, how can you effectively separate legitimate transactions from fraudulent ones during an anomaly analysis?

Which action should you take?

Choose only one option

Cross-reference transaction data with customer behavior

Review the transaction history manually

Use machine learning to flag suspicious transactions

Categorize transactions based on amount and frequency

Question 4: What analytical technique would you use to identify relationships between seemingly unrelated fraud cases in the BFSI sector?

Which action should you take?

Choose only one option

Neural networks for pattern recognition

Process mining to track linked transactions

Descriptive analytics of account history

Statistical correlation analysis of transaction types

Question 5: In an investigation involving multiple fraudulent accounts, which investigative technique is typically used to link the accounts?

Which action should you take?

Choose only one option

Direct interviews with suspected individuals

Reviewing customer transaction history

Data mining for hidden patterns

Random audits of account transactions

Question 6: In fraud investigation, what is the most critical factor in distinguishing between error and fraudulent activity?

Which action should you take?

Choose only one option

Intent behind the action

Impact on customer satisfaction

Frequency of the occurrence

Time frame in which the activity occurred