Remote Streaming Fraud Data Analyst

Universal Music; Remote; GBP 40,000 - 60,000; Full time

Job summary

A leading music company in the UK is seeking a Fraud Prevention Analyst to monitor and analyze streaming data for suspicious activity. You will collaborate with diverse teams to develop anti-fraud strategies and document findings. Ideal candidates will have experience in digital media fraud prevention and strong data literacy using tools like SQL and Python. Competitive benefits include a personal pension scheme, private medical insurance, and subsidized gym membership.

Benefits

Group Personal Pension Scheme

Private Medical Insurance

25 paid days of annual leave

Interest Free Season Ticket Loan

Dental and Travel Insurance options

Cycle to Work Scheme

Subsidised Gym Membership

Qualifications

• Experience in an analytical or investigative role within digital media fraud prevention.
• Strong data literacy with large datasets using SQL and Python.
• Familiarity with fraud detection systems is desirable.

Responsibilities

• Monitor and analyze data to identify patterns of suspicious behavior.
• Detect and document potential abuse vectors.
• Collaborate with legal and commercial teams.

Skills

Data literacy

Analytical skills

Experience in fraud detection

Detail-oriented

SQL

Python

Tools

Tableau

Looker

Job description

A leading music company in the UK is seeking a Fraud Prevention Analyst to monitor and analyze streaming data for suspicious activity. You will collaborate with diverse teams to develop anti-fraud strategies and document findings. Ideal candidates will have experience in digital media fraud prevention and strong data literacy using tools like SQL and Python. Competitive benefits include a personal pension scheme, private medical insurance, and subsidized gym membership.