Streaming Fraud Data Research & Analyst - London, N1C 4AG

Streaming Fraud Data Research & Analyst - London, N1C 4AG, United Kingdom

How we lead

UMG’s fraud prevention team is leading the industry by example in fighting the existential threats of streaming fraud and copyright fraud. This analyst role will be responsible for investigating and documenting ongoing patterns of suspicious behavior related to streaming fraud taking place on DSPs and social media platforms. This role can be based out of any of our US or European office locations or remote.

How you'll create

• Monitor and analyze large-scale streaming and social data to identify patterns of suspicious or manipulative behavior across platforms.

• Detect and document potential abuse vectors, including artificial streaming activity, bot networks, fraudulent playlisting, or traffic anomalies.

• Develop data-driven insights to inform anti-fraud strategies and escalate findings to internal stakeholders for enforcement and mitigation.

• Collaborate with data, legal, and commercial teams to shape deal language and partner data requirements that strengthen UMG’s anti-fraud posture.

• Work with DSP and third-party partners to improve data transparency and reporting related to user activity, play sources, and monetization.

• Assist in defining and improving internal processes, dashboards, and alerting systems that help proactively surface new forms of fraud.

• Support documentation and knowledge-sharing by maintaining logs of investigations, findings, and remediation outcomes.

Bring your vibe

• Experience in an analytical or investigative role, ideally within digital media, fraud prevention, fintech, or trust & safety.

• Strong data literacy — comfortable working with large datasets, using tools such as SQL and Python to identify trends and anomalies.

• Experience with fraud detection, AML/KYC, or platform integrity systems is highly desirable.

• Meticulous attention to detail and excellent recordkeeping — you’ll be logging evidence, maintaining audit trails, and documenting findings for internal and external stakeholders.

• Comfortable translating technical findings into clear, actionable recommendations for non-technical teams.

• Familiarity with visualization tools (Tableau, Looker, or equivalent) and comfort working in cross-functional environments.

• Analytical curiosity and persistence — you enjoy spotting irregularities, testing hypotheses, and helping design systems that make fraud harder to hide.

• Familiarity with UMG repertoire, YouTube ContentID, Meta Rights Manager or TikTok’s MediaMatch is a plus.

Bonus Tracks: Your Benefits

• Group Personal Pension Scheme (between 3% and 9%)

• Private Medical Insurance

• 25 paid days of annual leave

• Interest Free Season Ticket Loan available

• Holiday Purchase scheme

• Dental and Travel Insurance options

• Cycle to Work Scheme

• Salary Sacrifice Cars

• Subsidised Gym Membership

• Employee Discounts (Reward Gateway)