Card Fraud Risk Oversight Associate

What you'll do

• Aggregate and analyze large volumes of card transaction data to monitor fraud performance across products.
• Identify emerging fraud risks and schemes by analyzing transaction patterns and behavioral signals.
• Validate datasets and metrics to ensure accuracy and consistency in reporting and oversight outputs.
• Develop and maintain dashboards and recurring reports to track key fraud performance indicators.
• Conduct deep-dive analyses on cardholder behavior and root causes to support mitigation strategies.
• Provide evidence-based insights and data extracts to support investigations and decision-making.
• Prepare documentation for regulatory, audit, and management requests to ensure compliance.
• Identify process improvements and recommend actionable controls based on data-driven findings.

What we're looking for

• Minimum 3 years of experience working with large datasets in analytics, risk, fraud, or financial services.
• Minimum 3 years of hands-on experience using SQL, SAS, Python, Excel, and/or Tableau.
• Bachelor’s degree in Business, Finance, Economics, or a related field (or equivalent practical experience).
• Ability to detect trends and anomalies and translate analytical outputs into clear risk insights.
• Strong problem-solving skills with high attention to detail for reconciliation and data quality validation.
• Proven ability to communicate complex findings to non-technical stakeholders through concise storytelling and visual reporting.
• Experience with card products, fraud detection, payments, or comparable consumer finance risk domains.
• Proficiency in automated reporting pipelines, fraud case management, and regulatory exam support (preferred).