1 day ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Join the Revenue Protection Operations team to review suspicious activity, mitigate fraud, and prevent revenue leakage across payments, chargebacks/disputes, creator onboarding, and platform misuse. Use AI and automated tooling to improve detection and operational productivity, partner with Product and Engineering to test system changes, and share trend insights through data-informed investigations and performance guardrails.

Location: London

Workplace: Onsite

Employment Type: Contract · 12 months

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Review suspicious activity flagged by fraud systems and take mitigating/preventative action to protect users and minimize revenue leakage.
•Use, test, and adopt emerging AI technologies and automated tooling to improve fraud detection and productivity.
•Partner with Product and Engineering teams and external vendors on tooling and system design, requirements gathering, and testing.
•Investigate evolving fraud and misuse trends and present data-informed findings and retrospectives to set performance guardrails.
•Handle daily fraud/escalations and collaborate with Data Science, Engineering, and Product to translate insights into risk mitigation frameworks.

Key Requirements

•2+ years in a fraud analyst or revenue protection role, preferably in e-commerce, merchant fraud, or creator/marketplace environments.
•Familiarity with fraud prevention techniques, dispute/chargeback management, and financial crime risks.
•Experience working with machine learning and rule-based fraud prevention tooling (e.g., Ravelin, Sift, Signifyd, Accertify).
•Strong data analysis skills using SQL; knowledge of Google BigQuery is a plus.
•Experience with dashboard visualization tools such as Looker or Tableau.

Experience:2+ yearsE-commerceMerchant fraudMarketplace

Skills:Analytical thinkingProblem solvingCollaborationCommunicationAdaptability

Tech Stack:SQLGoogle BigQueryLookerTableauMachine learningRule-based fraud preventionRavelinSiftSignifydAccertify

Company Brief

Spotify

Provides a music, podcast and audio streaming service offering on-demand access to millions of tracks and podcasts, personalized recommendations, and advertising and subscription-based tiers for listeners and creators worldwide.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Stockholm, Sweden

Founded: 2006

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Spotify

1 day ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Contract · 12 months

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Review suspicious activity flagged by fraud systems and take mitigating/preventative action to protect users and minimize revenue leakage.
•Use, test, and adopt emerging AI technologies and automated tooling to improve fraud detection and productivity.
•Partner with Product and Engineering teams and external vendors on tooling and system design, requirements gathering, and testing.
•Investigate evolving fraud and misuse trends and present data-informed findings and retrospectives to set performance guardrails.
•Handle daily fraud/escalations and collaborate with Data Science, Engineering, and Product to translate insights into risk mitigation frameworks.

Key Requirements

•2+ years in a fraud analyst or revenue protection role, preferably in e-commerce, merchant fraud, or creator/marketplace environments.
•Familiarity with fraud prevention techniques, dispute/chargeback management, and financial crime risks.
•Experience working with machine learning and rule-based fraud prevention tooling (e.g., Ravelin, Sift, Signifyd, Accertify).
•Strong data analysis skills using SQL; knowledge of Google BigQuery is a plus.
•Experience with dashboard visualization tools such as Looker or Tableau.

Experience:2+ yearsE-commerceMerchant fraudMarketplace

Skills:Analytical thinkingProblem solvingCollaborationCommunicationAdaptability

Tech Stack:SQLGoogle BigQueryLookerTableauMachine learningRule-based fraud preventionRavelinSiftSignifydAccertify

Company Brief

Spotify

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Stockholm, Sweden

Founded: 2006

Glassdoor: 4.1

Website LinkedIn Glassdoor