Fraud Representative Interview Questions

3,164 fraud representative interview questions shared by candidates

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?"
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Fraud Analyst

Interviewed at Forter

4.1
Apr 15, 2021

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?"

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).
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Fraud Analyst

Interviewed at Forter

4.1
Aug 10, 2020

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).

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.
avatar

Fraud Analyst

Interviewed at Forter

4.1
Feb 9, 2022

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.

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