Why This Job is Featured on The SaaS Jobs
Revenue protection is a core SaaS capability when subscription billing, digital entitlements, and marketplace style creator ecosystems intersect. This Fraud Analyst role sits at that junction, focusing on payment fraud, chargebacks, onboarding risk, and platform misuse that can distort metrics and undermine partner trust. The remit reflects the reality of scaled consumer SaaS, where growth and safety controls have to evolve together as abuse patterns shift.
For a SaaS career, the role builds durable skills in operating risk controls as a product-adjacent function. It offers repeated practice turning operational signals into system improvements through collaboration with data science, product, and engineering, plus experience evaluating automated and AI-assisted detection approaches. The emphasis on SQL and dashboards also maps well to modern SaaS decision-making, where analysts are expected to quantify tradeoffs and communicate guardrails.
This position tends to suit analysts who enjoy investigative work, structured evidence handling, and crisp stakeholder communication. It is also a strong match for professionals who like balancing user impact with commercial outcomes, and who are comfortable working with ambiguity while patterns are still emerging. The fixed-term nature favors someone ready to contribute quickly within established operations.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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!
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What You’ll Do
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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.
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AI & Tooling Innovation: Actively utilize, test, and adopt emerging AI technologies and automated tooling to enhance fraud detection and improve operational productivity.
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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.
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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.
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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.
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Operational Excellence: Support the Revenue Protection leadership in maintaining and improving internal policies, process automation, evidence handling, and operational playbooks.
Who You Are
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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.
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Domain Knowledge: Familiarity with common fraud prevention techniques, dispute/chargeback management, financial crime risks, and emerging industry trends.
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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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Data Proficiency: Strong data analysis skills using SQL (knowledge of Google BigQuery is a plus) and experience with dashboard visualization tools like Looker, Tableau, or similar.
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Analytical Thinker: An ambitious and creative problem solver who works well independently, thrives when handling ambiguity, and can break down complex technical risks into practical applications.
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Collaborator & Communicator: A highly communicative person with a collaborative mindset who excels at building strong relationships with internal stakeholders, operations, and global partners.
Where You’ll Be
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You'll be based in London, UK.
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We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
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Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
