Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Fraud Analyst (Revenue Protection) - 12-Month Fixed-Term role.

Rezi rewrites your resume against Spotify's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Fraud Analyst (Revenue Protection) - 12-Month Fixed-Term posting at Spotify — free, in seconds.

About the Role

As a Fraud Analyst on the Revenue Protection Operations team, you will play a crucial role in enhancing Spotify's fraud prevention strategy. You will focus on tackling payment fraud, chargebacks/disputes, creator onboarding, and platform misuse that risks revenue leakage and partner trust. This 12-month cover role involves working with a global team to build robust operational defenses and maintain a safe, scalable platform.

Responsibilities

Review suspicious activity flagged by fraud systems and take swift mitigating and preventative action.
Utilize, test, and adopt emerging AI technologies and automated tooling to enhance fraud detection and improve operational productivity.
Contribute to the design, requirement gathering, and testing of tooling and system changes in partnership with internal teams and external vendors.
Proactively identify new fraud and misuse trends, presenting data-informed findings to suggest performance guardrails.
Handle daily fraud and misuse escalations, collaborating with Data Science, Engineering, and Product teams.
Support leadership in maintaining and improving internal policies, process automation, evidence handling, and operational playbooks.

Requirements

2+ years of experience in a fraud analyst or revenue protection role, preferably within e-commerce, merchant fraud, or creator & marketplace platforms.
Ability to rapidly adapt and hit the ground running.
Familiarity with common fraud prevention techniques, dispute/chargeback management, financial crime risks, and emerging industry trends.
Direct experience working with machine learning and rule-based fraud prevention tooling (e.g., Ravelin, Sift, Signifyd, Accertify).
Confidence and curiosity to leverage AI technologies to test, scale, and optimize internal fraud detection tools.
Strong data analysis skills using SQL (Google BigQuery is a plus).
Experience with dashboard visualization tools like Looker, Tableau, or similar.
An ambitious and creative problem solver who works well independently and thrives when handling ambiguity.
Ability to break down complex technical risks into practical applications.
Highly communicative with a collaborative mindset.
Ability to build strong relationships with internal stakeholders, operations, and global partners.

Skills

Fraud Analysis
Revenue Protection
Payment Fraud
Chargeback Management
Dispute Management
AI Technologies
Automated Tooling
Machine Learning
Rule-based Fraud Prevention Tooling
Data Analysis
SQL
Google BigQuery
Looker
Tableau
Trend Analysis
Risk Mitigation

Location

London, UK

Work Type

Hybrid
Remote
Onsite

Experience Level

Mid-level

About the Company

Spotify is a global company passionate about combating fraud, safeguarding revenue, and protecting users from sophisticated threats.
Spotify is committed to inclusivity and ensuring the recruitment process is accessible to everyone.
Spotify's platform and workplace are for everyone, regardless of background.

Equal Opportunity

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!
We have ways to request reasonable accommodations during the interview process and help assist in what you need.