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- Tasks: Investigate streaming fraud patterns and document suspicious behaviour across platforms.
- Company: Join Universal Music Group, the world’s leading music company with a passionate team.
- Benefits: Enjoy competitive benefits including private medical insurance, pension scheme, and gym membership.
- Why this job: Make a real impact in the fight against streaming fraud in the music industry.
- Qualifications: Analytical skills, data literacy, and experience in fraud prevention or digital media.
- Other info: Flexible remote work options and a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Streaming Fraud Data Research & Analyst role at Universal Music Group. Music is Universal. It’s the passionate and dedicated team at Universal Music who help make us the world’s leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.
Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation. We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles.
If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email UniversalMusicCareers@umusic.com.
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 behaviour 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 behaviour 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 elevate 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)
Just So You Know… The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.
Streaming Fraud Data Research & Analyst employer: Universal Music Group
Contact Detail:
Universal Music Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Streaming Fraud Data Research & Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Universal Music Group. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got experience with SQL or Python, consider creating a mini-project or analysis related to streaming fraud. Share it on LinkedIn or during interviews to stand out.
✨Tip Number 3
Prepare for the interview by brushing up on UMG’s recent initiatives in fraud prevention. Being knowledgeable about their work shows genuine interest and can give you an edge.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Streaming Fraud Data Research & Analyst
Some tips for your application 🫡
Show Your Passion for Music: When writing your application, let your love for music shine through! Mention any relevant experiences or projects that showcase your enthusiasm for the industry and how it aligns with UMG's mission.
Highlight Your Analytical Skills: Make sure to emphasise your analytical abilities, especially if you've worked with large datasets or tools like SQL and Python. We want to see how you can spot trends and anomalies, so give us examples!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your experiences and skills, making it easy for us to understand how you fit into the role of Streaming Fraud Data Research & Analyst.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at UMG.
How to prepare for a job interview at Universal Music Group
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past roles to analyse large datasets and identify trends. This will show that you're not just familiar with the tools, but that you can apply them effectively in a real-world context.
✨Understand Streaming Fraud
Do your homework on streaming fraud and the specific challenges faced by Universal Music Group. Familiarise yourself with terms like artificial streaming activity and bot networks. Being able to speak knowledgeably about these issues will demonstrate your genuine interest in the role and the industry.
✨Prepare for Scenario Questions
Expect to be asked how you would handle specific situations related to fraud detection. Think of examples from your past experience where you've identified suspicious behaviour or anomalies. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly and effectively.
✨Show Your Collaborative Spirit
This role involves working with various teams, so be prepared to discuss how you've successfully collaborated in the past. Share examples of how you've communicated technical findings to non-technical teams, as well as any experience you have in cross-functional environments. Highlighting your teamwork skills will make you stand out.
