About the role
Are you passionate about combating fraud, safeguarding revenue, and protecting users from sophisticated threats? As Spotify continues to grow and innovate, we are looking for a dedicated Fraud Analyst to join our Revenue Protection Operations team. In this role, you will play a crucial role in enhancing our fraud prevention strategy—ensuring a proactive balance between user growth, revenue protection, and maintaining a safe, scalable platform. With scale comes complexity. You will focus on tackling payment fraud, chargebacks/disputes, creator onboarding and platform misuse that risks revenue leakage and partner trust. As a 12-month cover, you will seamlessly step into our ongoing operations, keeping our momentum strong while bringing fresh perspectives to our workflows. You will work with a global team of world-class business managers, data scientists, product managers, and engineers to build robust operational defenses. If you have a keen eye for detail, strong analytical skills, and a drive to stay one step ahead of fraudsters using cutting-edge technologies, we want to hear from you! \n What You’ll Do 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.
