• Detection & Mitigation: Review suspicious activity flagged by our fraud systems and take swift mitigating and preventative action to protect our genuine users, secure our growth, and minimize revenue leakage.
• AI & Tooling Innovation: Actively utilize, test, and adopt emerging AI technologies and automated tooling to enhance fraud detection and improve operational productivity.
• Build & Optimize: Partner closely with internal Product and Engineering teams as well as external vendors to help contribute to the design, requirement gathering, and testing of tooling and system changes to capture evolving fraud and abuse trends early.
• Trend Analysis & Investigation: Be creative and proactively seek out new fraud and misuse trends. Present data-informed findings and retrospectives to suggest robust performance guardrails.
• Cross-Functional Collaboration: Handle daily fraud and misuse escalations while working closely with Data Science, Engineering, and Product teams to translate operational insights into risk mitigation frameworks.
• Operational Excellence: Support the Revenue Protection leadership in maintaining and improving internal policies, process automation, evidence handling, and operational playbooks.

Who You Are

• Experience: 2+ years of experience in a fraud analyst or revenue protection role, preferably within an e-commerce, merchant fraud, or creator & marketplace platform environment. Given the fixed-term nature of this role, the ability to rapidly adapt and hit the ground running is highly valued.
• Domain Knowledge: Familiarity with common fraud prevention techniques, dispute/chargeback management, financial crime risks, and emerging industry trends.
• AI & Systems Mindset: Direct experience working with machine learning and rule-based fraud prevention tooling (such as Ravelin, Sift, Signifyd, Accertify, etc.). You possess the confidence and curiosity to leverage AI technologies to test, scale, and optimize internal fraud detection tools.
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