Card Fraud Analyst

Card Fraud Analyst

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USC Credit Union

Please make an application promptly if you are a good match for this role due to high levels of interest.

Los Angeles, California

USC Credit Union is looking for an experienced Card Fraud Analyst . This position reports directly to the Operations Manager and is responsible for card fraud prevention and risk management activities to mitigate exposure to potential fraudulent activities.

Prevents, detects, and investigates suspicious activity. Performs analysis of suspicious activity and makes appropriate recommendations.

Identifies, configures, and implements card fraud detection tools. Supports management in developing and implementing trainings to educate credit union staff.

Establishes performance analytics and implements effective reporting tools.

Responsibilities include, but are not limited to :

• Prevents, detects, and investigates suspicious card activity to minimize fraud loss and chargeback rates.
• Performs in-depth analysis of suspicious activity and / or high-risk transactions, assesses levels of risk, and determines if improper activity has occurred.
• Makes appropriate recommendations to mitigate potential losses.
• Develops, maintains, and updates card fraud prevention strategies and initiatives.
• Identifies innovative ways to reduce fraud and makes recommendations to management.
• Identifies, configures, and implements card fraud detection tools; ensures detection actions do not impede operational efficiency.
• Monitors multiple systems and applications in real-time or near real-time, exercising judgment and making decisions, to prevent and detect fraudulent usage of USC Credit Union payment system.
• Coordinates recovery of losses due to fraudulent activity.
• Serves as subject matter expert (SME) regarding card fraud functions, systems, and policies. Ensures compliance with all applicable policies, procedures and regulations.
• Supports management in developing, implementing, and conducting trainings to educate credit union staff on identifying and responding to potential security violation situations.
• Reviews daily reports to identify and verify potential fraudulent activities.
• Produces monthly fraud analysis, identifying trends and providing actionable recommendations to improve the efficiency and effectiveness of mitigation programs.
• Develops and implements analytics, producing related reports to outline the department's progress.

Compensation :

The hourly rate range for this position is $26.90 - $31.25. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education / training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

Minimum Requirements :

Minimum Education : High school or equivalent

Minimum Experience : 1 year of experience in loss prevention / fraud investigation.

Minimum Skills : Excellent written and oral communication skills, and an exemplary attention to detail. Demonstrated ability to work independently with minimal supervision, deftly handle time-sensitive matters, meet strict deadlines, and sometimes confidential tasks.

Advanced judgment, analytical, and decision-making skills. Thorough knowledge of PC computing environment. Demonstrated experience with office management software / tools (e.

g. Google suite), databases / data warehouses, and reporting / query tools (e.g., Brio, MS Query, Crystal Reports). Ability to develop reports from multiple streams of data, interpret trends, and present information to varied audiences.

Preferred Experience : 3 years experience related experience with debit / credit card processing, and / or equivalent combination of education and experience required.

3 years experience with FICO Falcon card Fraud Manager (or comparable card fraud detection system / tools).

REQ20137647 Posted Date : 08 / 26 / 2024

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