Director, Card Fraud

The Role

This role sits within the Fraud Management Center of Excellence (COE) and is responsible for defining and executing fraud strategies and policies to minimize debit and credit card losses while delivering an exceptional member experience.

The Director of Card Fraud owns key strategic focus areas and contributes to broader departmental strategy. This leader will provide thought leadership to develop best-in-class policies across card declines, verification strategies, dispute intake, and dispute resolution—while ensuring compliance with applicable regulations.

What You’ll Do

• Develop and implement fraud strategies to mitigate card fraud, including unauthorized transactions, merchant disputes, provisional credit policies, and dispute resolution
• Lead and develop a team of individual contributors and managers, including hiring, performance management, and career development
• Partner cross-functionally with Fraud Analytics, Operations, Product, Engineering, and business leaders to implement fraud prevention strategies
• Build and enhance analytical frameworks and metrics to proactively identify, quantify, and assess fraud risk
• Lead investigations into suspected fraudulent activity, coordinating with internal and external stakeholders
• Make final decisions on strategy implementation and ensure operational effectiveness for the Card Fraud function
• Establish and maintain a fraud risk management framework, including policies, procedures, and controls
• Ensure compliance with applicable regulations and industry standards, including Regulation E and Regulation Z
• Analyze fraud trends and emerging patterns to inform proactive mitigation strategies

What You’ll Need

• 10+ years of experience in fraud risk management, financial crime investigations, or a related field
• Strong subject matter expertise in debit and credit card fraud and disputes
• 5+ years of people management experience
• Strong analytical and problem-solving skills, with the ability to analyze complex data and identify patterns
• Proficiency in data analysis tools and languages such as SQL, Python, or R
• Excellent written and verbal communication skills, with the ability to clearly articulate findings and recommendations