Fraud Monitoring Analyst

What You Will Do

• Reviews transactions within Equifax’s suite of products and services to identify fraudulent and/or inappropriate access of data.
• Identifies and implements automation opportunities within manual review workflows to increase detection speed and accuracy.
• Reviews security monitoring systems and reports to identify suspicious patterns that warrant further investigation.
• Partners with technical teams to tune AI-driven fraud models, providing feedback on "False Positives" to refine machine learning accuracy.
• Reviews and investigates escalations indicative of inappropriate access while adhering to all applicable SLAs.
• Establishes regular reporting and recommendations on improvements realized through analysis of best practices.
• Independently prioritizes and organizes work to meet deadlines and deliver quality results with minimal direction from others.

What Experience You Need

• 2+ years of experience with fraud detection or related fraud/security data analysis.
• Bachelor’s in a related field.
• Familiarity with AI/ML - the ability to develop and create detection techniques.
• Tech-savvy understanding of and experience with leveraging data systems to deliver actionable results.
• Experience using automation tools or basic scripting (e.g., Python, SQL, or Advanced Excel macros) to streamline data collection and reporting.
• Ability to make quick, accurate and consistent decisions about data indicators.
• Advanced understanding of Excel/Google spreadsheets.
• Results-driven achiever with exemplary planning and organizational skills, along with a high degree of detail orientation.