About the role

  • 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.

Requirements

  • 2–5 years of 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 UMG repertoire, YouTube ContentID, Meta Rights Manager or TikTok’s MediaMatch is a plus.
  • 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.

Benefits

  • Comprehensive medical, dental, vision, and FSA options
  • 100% coverage for out-patient mental health services
  • Wellbeing reimbursements for fitness classes, spa treatments, meal services, travel, and so much more (up to $720/year)
  • A lifetime fertility support allowance of $30,000 to plan participants
  • Student Loan Repayment Assistance and Tuition Reimbursement
  • 100% immediately vested 401(k) match on the first 5% of your contribution on eligible compensation
  • Flexible Paid Time Off (PTO) for exempt employees
  • 3-weeks PTO for non-exempt employees
  • 2-weeks paid Winter Break
  • 10 Company Holidays (including Juneteenth and Wellbeing Day)
  • Summer Fridays (between Memorial Day and Labor Day)
  • Generous paid parental leave for every type of parent

Job title

Streaming Fraud Data Research Analyst

Job type

Experience level

JuniorMid level

Salary

$61,910 - $118,250 per year

Degree requirement

No Education Requirement

Tech skills

Location requirements

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