Software Engineer
To play this video, please accept Functional & Personalisation cookies in your cookie preferences.
To play this video, please accept Functional & Personalisation cookies in your cookie preferences.
Manage Preferences
Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax is seeking a Fraud Automation 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 believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday–Thursday), paired with Friday Flexibility to wrap up your week remotely.
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.
What you will do
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.
What experience you need
2+ years of experience with fraud detection or related fraud/security data analysis.
Posted July 31, 2026