First they give you a list of people with some info about them and you have to match then to shopping carts. Then you have general knowledge questions, like where the winter Olympics took place. The final step is to go through email addresses and tell if they are legit or not. The second interview is about analyzing the question "How much windows are there in NYC?"
Fraud Analyst Interview Questions
Fraud Analyst Interview Questions
Realtors, banks, and insurance companies often use fraud analysts to reduce consumer fraud. They work to discover the type and source of fraud by asking questions, filling out paperwork, changing account numbers, assisting with refunds, and alerting proper authorities.
Top Fraud Analyst Interview Questions & How to Answer
Question #1: Because things are continually changing, what do you feel is the biggest challenge facing the role of a fraud analyst?
Question #2: What are the applications or software in which you would consider yourself proficient?
Question #3: Have you developed a system to reduce or eliminate errors within your work?
2,845 fraud analyst interview questions shared by candidates
The cart had 5 profiles of people and their online orders. Had to match them - some things overlapped so you had to justify the choice. The general knowledge included (US geography, most populated cities, art history, olympic games host cities).
What are your strengths and weaknesses?
Why do you want this role? Where would you like to see yourself in 5 years? What was your favorite part of this job? What do you bring to this role / what are your strengths?
Are you able to work independently?
Some complex SQL queries and easy algorithm questions
think of a matric that can help you detect fraud that is not in the given data
Initial online test: 1) With six individual profiles of different people and six shopping lists, we were asked to match characters to lists. 2) 10 online transactions with limited data were given, and we were asked to predict whether the transaction is fraudulent or real. 3) The longest part, we were asked across 5,000 transactions, fraudulent and real, to give input on the data. It's important to do pivot tables (although excel algorithms could also do the trick) and remember\know statistical intuitions - the law of large numbers, average vs. median, the importance of std. deviations, etc.
I've not done it yet
Different questions trying to measure analytical skills like orderly thinking, problem and cognitive flexibility
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