Quick Summary
Key Responsibilities
Analyzing credit applications and personal identifiable information (PII) to identifying fraudulent activity and high-risk behaviors Recognizing and differentiating between first party, third party,
Technical Tools
Fraud AnalystData & AI
What We Need
Corpay is currently looking to hire a Fraud Analyst I within our Fuel division. This position is in Peachtree Corners, GA. In this role, you will analyze and review customer applications, transactions, and payment data to identify and mitigate fraudulent activity while supporting risk management efforts. You will report directly to Director of Acquisitions Credit & Fraud Operations and regularly collaborate with Sales, Customer Service, Risk PMO, and leadership teams.
How We Work
As an Application Fraud Analyst I, Corpay will set you up for success by providing:
Assigned workspace in Peachtree Corners, GA office
Company-issued equipment
Formal, hands-on training
Role Responsibilities
The responsibilities of the role will include:
Analyzing credit applications and personal identifiable information (PII) to identifying fraudulent activity and high-risk behaviors
Recognizing and differentiating between first party, third party, and synthetic fraud
Conducting detailed research using tools such as LexisNexis, credit bureau reports, and online resources
Investigating suspicious activity to combating fraud and protecting customers while reducing company losses
Ensuring data accuracy, completeness, and quality within internal systems while escalating gaps or inconsistencies
Collaborating cross-functionally with Sales, Customer Service, Risk PMO, and leadership teams
Examining customer documents to identifying counterfeit, forged, or altered information
Performing fraud analysis to identifying emerging fraud trends and evaluating effectiveness of risk rules
Identifying process gaps and making recommendations to improving risk policies and procedures
Communicating fraud trends and insights to leadership
Supporting compliance efforts including KYC, KYB, AML, and BSA regulations
Participating in team meetings and contributing ideas to enhance fraud prevention strategies
Completing additional projects and duties as assigned
Qualifications & Skills
Bachelor’s degree in Business, Fraud Operations, Risk, or equivalent related field
2–5 years of experience in fraud analysis, prevention, investigation, or related field
Strong knowledge of fraud detection techniques, industry regulations, and best practices
Exceptional attention to detail and analytical skills
Strong written and verbal communication skills
Proficiency in Microsoft Excel and data analysis tools
Ability to manage tasks and meet Service Level Agreements (SLAs)
Experience with Salesforce, LexisNexis, Emailage, or case management systems (preferred)
Experience with fraud detection tools such as IDology, Iovation, or Ekata (preferred)
Certified Fraud Examiner (CFE) certification (preferred)
Benefits & Perks
Medical, Dental & Vision benefits available the 1st month after hire
Automatic enrollment into our 401k plan (subject to eligibility requirements)
Virtual fitness classes offered company-wide
Robust PTO offerings including: major holidays, vacation, sick, personal, & volunteer time
Employee discounts with major providers (i.e. wireless, gym, car rental, etc.)
Philanthropic support with both local and national organizations
Fun culture with company-wide contests and prizes
Location & Eligibility
Where is the job
—
Location terms not specified
Listing Details
- Posted
- October 5, 2026
- First seen
- October 6, 2026
- Last seen
- October 6, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- October 6, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
Browse Similar Jobs
Data Science2.4kBusiness Analyst2kAnalytics1.4kData Architect459Database Administrator347Machine Learning310Business Intelligence224Risk Analyst182AI Engineer139Business Intelligence Analyst136Database Engineer130Ai Research Engineer123Data Modeler97Quantitative Analyst72Master Data Specialist65Machine Learning Scientist61Research Scientist60Optimization Engineer47Data Quality Analyst46Statistician39
Newsletter
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
A
B
C
D
No spam. Unsubscribe at any time.