Fraud & Claims Operations Associate – GPL WellsOne Fraud Team

Wells Fargo & Company • Salt Lake City, UT

2d • Hybrid

About The Position

Wells Fargo is seeking a Fraud & Claims Operations Associate in Global Payments & Liquidity (GPL) within Enterprise Functions to assist with fraud detection and mitigate fraud risk on the WellsOne Fraud team. This individual will be responsible for identifying, researching, and analyzing complex fraud and claims trends, including commercial credit card transactions, and/or unusual situations. This team is an integrated, forward-looking product organization with end-to-end payments, data, liquidity and associated lending solutions that enable our clients to achieve their business objectives in an evolving digital world. In this role, you will: Identify potential fraud trends and provide communication to management or team. Research and analyzes complex activity using multiple systems and research techniques and detect potentially fraudulent activity and take appropriate action. Participate in researching and examining complex transactions and referrals in order to prevent and detect fraud activities. Receive direction and exercise judgment within defined parameters while developing an understanding of investigative techniques and all facets of portfolios serviced by the division to quickly examine information and determine liability as well as impact of each case. Provide financial or business evidence and detailed data detecting patterns, trends, anomalies, and schemes in transactions. You will learn to build, implement, and maintain fraud prevention strategies while gathering, reviewing, and analyzing relevant data to identify fraud patterns and adjust strategies accordingly. In this role, you will handle customer inquiries related to fraud, providing timely resolutions and managing escalations with professionalism. You will also support data analytics efforts by generating reports, identifying key metrics, and assisting with assigned data‑driven projects. Additionally, you will analyze fraud trends by researching common points of purchase and monitoring emerging schemes to proactively address risks.

Requirements

• 6+ months of Customer Service, Financial Services, Fraud, Investigations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

• 6+ months of fraud prevention and/or detection experience within the Financial Services industry
• Commercial Credit Card industry experience
• Experience with credit card systems / platforms like TSYS.
• Knowledge and or direct experience with ServiceView
• Advanced experience with Excel.
• Ability to analyze data and put it into easy to understand reporting for fraud leadership
• Reporting on risk control actions and performance; including tracking thresholds
• Experience identifying potential fraud risk and recognizing trends in data
• Knowledge and understanding of Commercial Card, MasterCard, or Visa products
• Strong analytical skills with high attention to detail and accuracy
• Outstanding problem solving and decision-making skills
• Strong organizational, multi-tasking, and prioritizing skills
• Experience pulling data from Tableau and / or Power BI

Responsibilities

• Identify potential fraud trends and provide communication to management or team.
• Research and analyzes complex activity using multiple systems and research techniques and detect potentially fraudulent activity and take appropriate action.
• Participate in researching and examining complex transactions and referrals in order to prevent and detect fraud activities.
• Receive direction and exercise judgment within defined parameters while developing an understanding of investigative techniques and all facets of portfolios serviced by the division to quickly examine information and determine liability as well as impact of each case.
• Provide financial or business evidence and detailed data detecting patterns, trends, anomalies, and schemes in transactions.
• Build, implement, and maintain fraud prevention strategies while gathering, reviewing, and analyzing relevant data to identify fraud patterns and adjust strategies accordingly.
• Handle customer inquiries related to fraud, providing timely resolutions and managing escalations with professionalism.
• Support data analytics efforts by generating reports, identifying key metrics, and assisting with assigned data‑driven projects.
• Analyze fraud trends by researching common points of purchase and monitoring emerging schemes to proactively address risks.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed