Senior Specialist, Card Fraud Strategy Analyst

rk closely with cross-functional teams and help shape fraud controls with actionable insights.

Role
• Analyze large transaction datasets to detect fraud signals and contribute to the development of fraud prevention strategies
• Apply clustering, visualization, and anomaly detection techniques to evaluate fraud risks
• Use tools like Qlik, Power BI, or Domo to leverage and enhance dashboards for fraud analysis and monitoring
• Collaborate with fraud operations and product teams to test and refine detection rules
• Evaluate the performance of fraud controls and recommend optimizations
• Support the creation of reports and presentations for internal stakeholders
• Track emerging fraud tactics, tools, and technologies to inform team strategies
• Coordinate with internal teams to support fraud solution delivery

All About You
• Bachelor's degree in Data Science, Statistics, or a related field
• 3+ years in card fraud strategy or risk analytics, with experience in issuer-side fraud prevention
• Proficient in SQL and Python for fraud analytics
• Proficient with card fraud detection methods, KPIs, and performance evaluation
• Fluent in English, able to communicate complex findings into clear, actionable recommendations
• Strong collaboration and communication skills across diverse teams
• Curious mindset with a desire to stay ahead of fraud trends and technologies

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.