Lead and develop an adversarial fraud testing function to simulate attacks against products, identify vulnerabilities, and enhance defenses through collaboration with cross-functional teams and repeatable testing methodologies.

Champion a proactive approach to adversarial testing, enhancing defenses against fraud and abuse. Collaborate with multiple teams to identify vulnerabilities, automate testing, and document methodologies to secure product integrity.

Drive advanced fraud detection by developing cutting-edge ML models and integrating AI solutions for real-time risk decisioning. Shape robust systems that enhance detection through end-to-end ownership, from signal generation to production deployment.

Unlock potential by developing cutting-edge AI/ML systems for fraud detection. Collaborate across teams to implement robust risk analysis solutions and enhance real-time decisioning, directly impacting security strategies and customer trust.

Unlock your potential as a Senior AI/ML Engineer to advance fraud detection systems through innovative machine learning techniques. Lead end-to-end solutions that enhance security and drive real-time risk decisioning in a dynamic environment.