Adversarial Fraud Engineer

What you'll do

• Conduct adversarial testing on externally facing products, APIs, and fraud controls to identify potential exploits.
• Recreate real-world fraud and abuse attacks to map attack paths and identify control gaps.
• Build automated testing tools and scripts using Python to simulate fraud scenarios at scale.
• Develop creative test scenarios for account creation, identity, payments, and other customer experiences.
• Evaluate the efficiency of new and existing fraud prevention measures to strengthen detection.
• Retest mitigations to validate that identified attack paths have been effectively addressed.
• Document attack methodologies, findings, and recommendations to build repeatable testing capabilities.
• Research emerging fraud, abuse, and AI-enabled attack techniques to update product defenses.

What we're looking for

• Proficiency in Python or a similar scripting/programming language is required.
• Experience with REST APIs, HTTP, authentication, web applications, and modern cloud-based systems is required.
• Experience building scripts, tools, or automated workflows to test complex systems and behaviors is required.
• Proficiency in Git, data/SQL, and interpreting product architecture is required.
• Strong understanding of fraud, abuse, cybersecurity, adversarial testing, or digital risk is required.
• Strong analytical skills using SQL, logs, telemetry, or other data sources to evaluate test results is required.
• Strong communication and documentation skills to translate technical findings into actionable recommendations is required.
• Experience with JavaScript, cloud services, browser automation, CI/CD, or security testing tools (preferred).