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Fraud Data Analyst Jobs (NOW HIRING)

Bonus Type Discretionary Summary The Fraud Data Product Owner is a newly created role at the center ... Advanced analytical and problem-solving skills; must be able to independently solve complex ...

Bonus Type Discretionary Summary The Fraud Data Product Owner is a newly created role at the center ... Advanced analytical and problem-solving skills; must be able to independently solve complex ...

Sr. Fraud Strategy Analyst

Kansas City, MO · On-site +1

$57K - $124K/yr

The Sr. Fraud Data Strategy Analyst works as a member of a multi-channel data team and operating associated systems and tools used for the creation of reports to be consumed by LOB (lines of business ...

As a Portfolio Analytics & Strategy Analyst Senior - Fraud Risk Strategist (Lending) within PNC ... Spark/Python, Data Science and Analytics, Optimization Frameworks, Graph/Linkage Analysis, Data ...

As a Portfolio Analytics & Strategy Analyst Senior - Fraud Risk Strategist (Lending) within PNC ... Spark/Python, Data Science and Analytics, Optimization Frameworks, Graph/Linkage Analysis, Data ...

As a Portfolio Analytics & Strategy Analyst Senior - Fraud Risk Strategist (Lending) within PNC ... Spark/Python, Data Science and Analytics, Optimization Frameworks, Graph/Linkage Analysis, Data ...

As a Portfolio Analytics & Strategy Analyst Senior - Fraud Risk Strategist (Lending) within PNC ... Spark/Python, Data Science and Analytics, Optimization Frameworks, Graph/Linkage Analysis, Data ...

As a Portfolio Analytics & Strategy Analyst Senior - Fraud Risk Strategist (Lending) within PNC ... Spark/Python, Data Science and Analytics, Optimization Frameworks, Graph/Linkage Analysis, Data ...

Data Analyst "◦ Collaborate with cross-functional teams such as Fraud, Legal, Operations, Product and Business Development to design and implement fraud monitoring solutions and fraud prevention ...

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Fraud Data Analyst information

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$34K

$82.6K

$136K

How much do fraud data analyst jobs pay per year?

As of Jun 13, 2026, the average yearly pay for fraud data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Fraud Data Analyst position, and why are they important?

A Fraud Data Analyst should have a strong background in data analytics, statistics, and experience with financial or transactional data, often holding a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, R, anti-fraud software platforms, and certifications like Certified Fraud Examiner (CFE) are commonly expected. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and presenting findings to stakeholders. Together, these skills ensure accurate identification and prevention of fraud, helping organizations mitigate risks and maintain trust.

What does a Fraud Data Analyst do?

A Fraud Data Analyst detects and prevents fraudulent activities by analyzing data patterns, identifying suspicious transactions, and developing fraud detection models. They use statistical techniques, machine learning, and data visualization tools to uncover fraud trends and mitigate risks. Their role involves collaborating with fraud prevention teams, financial analysts, and law enforcement to enhance security measures. Additionally, they create reports and dashboards to monitor fraud metrics and improve fraud detection strategies.

What does a typical day look like for a Fraud Data Analyst?

A typical day for a Fraud Data Analyst involves analyzing large sets of financial or transactional data to detect unusual patterns or trends that might indicate fraudulent activity. You may collaborate closely with investigation teams, compliance officers, and IT professionals to refine detection models and respond quickly to potential threats. Weekly responsibilities also include creating detailed reports, documenting findings, and recommending improvements to internal controls or monitoring processes. This dynamic role often requires balancing independent analytical work with cross-functional teamwork to effectively combat fraud.

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Streaming Fraud Data Research & Analyst

Umusic

Santa Monica, CA • On-site, Remote

$61K - $118K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


Job description

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.

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

  • 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.

Perks Playlist:

Join an entrepreneurial, global organization where authenticity, boldness, creativity, connection, drive, and insight aren't just values-they're how we work every day. Here are some of the ways we support you along the way (and just a few of the benefits we offer):

  • Comprehensive medical, dental, and vision coverage

  • Including 100% coverage for out-patient in-network mental health services

  • Fertility coverage for eligible medical plan participants

  • Wellbeing reimbursements for fitness classes, spa treatments, meal services, travel, and so much more (up to $720/year)

  • Student Loan Repayment Assistance and Tuition Reimbursement

  • 401(k) with 100% immediate vesting on the first 5% of your contributions, plus an additional UMG contribution

A 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

Check out our full overview of benefits on the Perks Playlist page of the career site.

Disclaimer: This job description only provides an overview of job responsibilities that are subject to change.
Universal Music Group is an Equal Opportunity Employer

We are an E-Verify employer in Alabama, Arizona, Georgia, Mississippi, North Carolina, South Carolina, Tennessee, and Utah.


Please note, UMG is not enrolled in E-Verify in California and New York, and cannot support employment of candidates whose employer must enroll in E-Verify, for example candidates on STEM-OPT.

For more information, please click on the following links.

E-Verify Participation Poster:English / Spanish

E-Verify Right to Work Poster:English|Spanish


Job Category:Universal Music Group

Salary Range:

$61,910 - $118,250

The actual base salary offered depends on a variety of factors, which may include, as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. All candidates are encouraged to apply.