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

Question #1: Because things are continually changing, what do you feel is the biggest challenge facing the role of a fraud analyst?

How to answer
How to answer: This open-ended question is designed to test your fundamental knowledge of the role of a fraud analyst and any potential threats to this field in the future. You can speak to the topics of artificial intelligence, software, and items related to the use of technology in fraud. Express confidence that you look forward to tackling any future challenges that come your way.
Question 2

Question #2: What are the applications or software in which you would consider yourself proficient?

How to answer
How to answer: This open-ended question provides you with an opportunity to share your wealth of knowledge on available applications and software programs available to your industry. You can also use this question to share your ability to evaluate such technologies and apply them to your field where applicable. Share how you use these applications or software as well as the benefits and limitations you have found with them.
Question 3

Question #3: Have you developed a system to reduce or eliminate errors within your work?

How to answer
How to answer: This open-ended question allows your future employer to learn about your problem-solving skills, along with your ability to monitor your work for errors. Discuss any methods you've developed that help to reduce or eliminate errors and how you apply them.

2,845 fraud analyst interview questions shared by candidates

Excel: 1 How many transactions tagged as VPN happened in September. Present the data in pivot 2 What are the top 10 appearing IPS. Present the list 3 How many fraud conversions were tracked during September 2020 and which advertisers were affected? Please present the data in the pivot 4 How many transactions come from web advertisers vs in app advertiser. Please present the results in a pie chart. 5 How many conversions happened after 3, 7, 20 days ( conversion happens after the click). Present the data in pivot 6 What is the chargeback ratio ( % of claimed revenue from overall spend) per months appearing in tab "Overall spend" ? Please present the results in a table Below you will find four tables from a sample schema, containing some data tracked in our platform. Basing on them please write queries to answer the following questions: 1. Query to filter the results and receive only conversions there the condition ‘fraud’ is YES. Include columns about ‘supply_payout_usd’, ‘client_id’, and ‘client_name’. 2. Create a table containing columns and corresponding information about: - sum of ‘advertiser_spent_usd’ and sum of ‘supply_payout_usd’ - ‘app_id’, ‘app_name’, ‘client_id’, ‘client_name’ - ‘advertiser_id’ and ‘advertiser_id’ columns for ‘campaign_id’ 1401130.
avatar

Fraud Analyst

Interviewed at Digital Turbine

3.3
Nov 21, 2021

Excel: 1 How many transactions tagged as VPN happened in September. Present the data in pivot 2 What are the top 10 appearing IPS. Present the list 3 How many fraud conversions were tracked during September 2020 and which advertisers were affected? Please present the data in the pivot 4 How many transactions come from web advertisers vs in app advertiser. Please present the results in a pie chart. 5 How many conversions happened after 3, 7, 20 days ( conversion happens after the click). Present the data in pivot 6 What is the chargeback ratio ( % of claimed revenue from overall spend) per months appearing in tab "Overall spend" ? Please present the results in a table Below you will find four tables from a sample schema, containing some data tracked in our platform. Basing on them please write queries to answer the following questions: 1. Query to filter the results and receive only conversions there the condition ‘fraud’ is YES. Include columns about ‘supply_payout_usd’, ‘client_id’, and ‘client_name’. 2. Create a table containing columns and corresponding information about: - sum of ‘advertiser_spent_usd’ and sum of ‘supply_payout_usd’ - ‘app_id’, ‘app_name’, ‘client_id’, ‘client_name’ - ‘advertiser_id’ and ‘advertiser_id’ columns for ‘campaign_id’ 1401130.

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