Rodeo
Get started

Spotify

Fraud Analyst (Revenue Protection) - 12-Month Fixed-Term

London
Posted about 23 hours ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

Job Title: Fraud Analyst

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!

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.
  • 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.
  • 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.
  • Collaborator & Communicator: A highly communicative person with a collaborative mindset who excels at building strong relationships with internal stakeholders, operations, and global partners.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

Where You’ll Be

You'll be based in London, UK. 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.

About Us

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.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Fraud analysis
Revenue protection
SQL
Google BigQuery
Looker
Tableau
Machine learning
Data analysis
Risk mitigation
Chargeback management
Financial crime
Operational excellence
Process automation
Stakeholder management
Analytical thinking
Communication

Location

London, England, United Kingdom

Sign up to applySee more jobs like this