Fraud Monitoring Analyst

Equifax is seeking a Fraud Monitoring Analyst to monitor, analyze, and investigate interactions to identify suspicious behavior or attempted fraudulent access to Equifax consumer-facing systems. This critical role executes on strategic fraud prevention and detection solutions, leveraging machine learning and automation to minimize the risk and exposure of Equifax data.

As a vital line of defense integral to our business goals, you will actively engineer next-generation fraud monitoring tooling using AI. This includes partnering with technical teams to tune AI-driven fraud models, providing critical feedback loops on false positives to refine machine learning accuracy, and identifying automation opportunities to drastically increase detection speed. The ideal candidate thrives on new challenges and possesses the agility to build, adapt, and scale detection techniques in a highly dynamic threat environment.

This position is based out of our Alpharetta, Georgia office. We are required to be in the office 3 days/week - Tues/Wed/Thurs.

This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.

This position is not open to third-party vendors or C2C.

In person interviews are required.

• Reviews transactions within Equifax's suite of products and services to identify fraudulent and/or inappropriate access of data.
• Identify and implement 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.
• Partner 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 prioritize and organize work to meet deadlines and deliver quality results with minimal direction from others.

• 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.
• Technological 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.

• Past experience in Data Analytics or Data Science.
• Ability to define and identify patterns of activity.