Fraud Analyst Skills for Resume

Updated January 11, 2022
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No hiring manager will consider a fraud analyst resume complete until he or she sees the skills section in it.

If you have not been including this section in your resume, and have wondered by you haven’t received an interview call, well, this might be the problem!

Always make sure that your resume speaks volumes for your ability to perform certain fraud analysis tasks.

Writing the skills section can be a bit complicated, especially if you have not done a thorough self-analysis, and don’t know what it is that you want to show off.

Make sure that the skills section that you write is excellently penned down.

How do you make sure that you do this?

You figure out the different ways in which you have been helpful to your current or previous company, and how you can replicate your actions to provide benefit to a future one.

Even your most obvious skills (like communication and interpersonal abilities) can be written in statements that say a lot about you as a person.

The trick is to play with words a little so that you can highlight your capabilities to a prospective employer in a proper manner, leaving him or her no choice but to ask you to come in for an interview immediately.

Here are some examples of skills statements for a fraud analyst position. Take a look:

Sample Hard Skills for Fraud Analyst Resume

•Monitoring customer and transactional records, aimed at identifying unauthorized transactions, and fraudulent accounts.
• Approving or holding orders in accordance with predetermined fraud and loss prevention rules.
• Investigating all cases of actual or suspected fraud and non-compliance.
• Identifying, analyzing, and interpreting trends or patterns in acquired data, aimed at determining potential fraudulent activities.
• Researching and analyzing account activities to assess the levels of risk and fraud.
• Effectively monitoring fraud alerts and providing data analysis to support resolutions, and lead fraud recovery processes.
• Leading project strategies, including monitoring project processes and results to minimize fraudulent activities
• Monitoring marketplace transactions for abnormal behavior, and providing alerts to counter them.
• Analyzing data and information, by using statistical methods to identify patterns in claims.
• Identifying fraud by leveraging both internal and external data sources and risk segmentation techniques.
• Establishing data management processes, and proactively working to minimize or eliminate fraud exposures.