Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
The Home Depot

Senior Cybersecurity Analyst – Fraud

The Home Depot

Senior Cybersecurity Analyst at Home Depot supporting Identity Fraud Prevention Team. Analyzing fraud patterns and developing AI models to combat sophisticated fraud schemes.

Posted 5/14/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $100,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies
Cyber SecurityPythonSQL

About the role

Key responsibilities & impact
  • Conduct in-depth analysis of identity fraud patterns, including synthetic identity fraud, credential stuffing, account takeovers (ATO), and deepfake-enabled fraud.
  • Develop AI-powered fraud detection models and continuously refine existing fraud prevention techniques.
  • Identify adversarial AI threats, including automated bot fraud, GenAI-enabled phishing, and social engineering attacks.
  • Research and implement machine learning models to detect deepfake-generated identities, voice fraud, and AI-assisted fraud schemes.
  • Collaborate with security engineers and data scientists to develop countermeasures for deepfake-based fraud attempts.
  • Perform advanced fraud penetration testing against identity verification and fraud prevention systems.
  • Monitor and analyze dark web and underground fraud forums for emerging identity fraud trends and tactics.
  • Work closely with staff analysts, cybersecurity teams, and fraud risk managers to escalate fraud cases and implement risk mitigation strategies.

Requirements

What you’ll need
  • 3-5 years of experience in fraud detection, cybersecurity, or AI-driven fraud prevention.
  • Strong understanding of identity verification, fraud analytics, and adversarial AI.
  • Hands-on experience with fraud detection tools, machine learning models, and automation frameworks.
  • Proficiency in Python, SQL, or other scripting languages for fraud analysis and data investigation.
  • Knowledge of deepfake detection techniques, AI risk mitigation, and biometric security.
  • Familiarity with fraudster TTPs (Tactics, Techniques, and Procedures) in digital identity fraud and organized retail crime.
  • Experience with fraud modeling, anomaly detection, and AI-driven threat intelligence tools.
  • Certifications such as CFE (Certified Fraud Examiner), CEH (Certified Ethical Hacker), or CISSP are preferred.

Benefits

Comp & perks
  • Competitive salary
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
fraud detectioncybersecurityAI-driven fraud preventionidentity verificationfraud analyticsmachine learning modelsPythonSQLdeepfake detection techniquesanomaly detection
Soft Skills
collaborationcommunicationrisk mitigationanalytical thinkingproblem-solving
Certifications
CFECEHCISSP