Streaming Fraud Data Research & Analyst

Universal Music•Santa Monica, CA

1d•$61,910 - $118,250•Remote

About The Position

We are UMG, the Universal Music Group. We are the world’s leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world. 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.

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

Nice To Haves

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

Responsibilities

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.

Benefits

Be part of an entrepreneurial, global organization that values authenticity, drive, creativity, relationships, and a competitive spirit
Comprehensive medical, dental, vision, and FSA options, as well as:
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
Variety of ways to prioritize much-needed time away from work including:
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