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Trading Investigator

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Sportradar
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 45000 - 65000 GBP Yearly GBP 45000.00 65000.00 YEAR
Job Description & How to Apply Below

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

Job Description

OVERVIEW

Working within Revenue Protection, the Trading Investigator willbe responsible for analysing large and complex datasets to support intellectual property protection, revenue recovery, riskidentificationand commercial intelligence activities.

The role will focus onidentifyingtrends, anomalies, suspiciousactivityand commercial opportunities across Sportradar's products,service sand partner ecosystem. Combining advanced analytical techniques with investigative thinking, the analyst will produce actionable intelligence, support strategic investigations, and deliver insights that help protect and maximise the value of Sportradar's data,content and commercial rights.

The successful candidate willpossessstrong analytical capabilities, commercial awareness, and a naturally inquisitive mindset, enabling them to transform data into meaningful intelligence and business outcomes.

THE CHALLENGE

Analyse large and complex datasets relating to customer activity, product usage, content consumption, distributionchannelsand commercial operations.

Develop monitoring frameworks toidentifyunauthorised usage, revenue leakage, abuse, fraudindicatorsand emerging business risks.

Conduct quantitative analysis toidentifytrends, anomalies and opportunities across products,service sand customer segments.

Support investigations involving contractual non-compliance and other revenue-impacting activities.

Identify relationships, patterns and connections across customers, users,partners and entities of interest.

Produce analytical reports,visualisation sand dashboards to support operational and strategic decision-making.

Develop automated processes to improve monitoring, intelligencecollectionand reporting capabilities.

Partner with Intelligence Analysts, Investigators and Commercial stakeholders to support complex enquiries and investigations.

Work closely with Data Science, Product and Engineering teams to develop scalable analytical solutions.

Conduct behavioural, trend and network analysis toidentifyclusters,anomalies and indicators of misuse.

Contribute to the development of new methodologies, tools and analytical capabilities that enhance Revenue Protection operations.

YOUR PROFILE

2+ years' experience in data analytics, business intelligence, fraud analytics, revenue assurance, investigations, compliance, riskmanagementor a related field.

Strong SQL skills and experience working with large datasets.

Experience using Python, R or equivalent analytical tools for data investigation and analysis.

Strong understanding of statistical analysis, datamodellingand visualisation techniques.

Experience building dashboards and visualisations using Power BI, Tableau,Lookeror similar platforms.

Experience extracting,transforming and analysing data from multiple structured and unstructured sources.

Strong analytical and problem-solving skills, with the ability toidentifypatterns and root causes.

Excellent written and verbal communication skills.

Ability to communicate complex findings to both technical and non-technical audiences.

Highly organised with the ability to manage multiple priorities simultaneously.

Advantageous

Experience in sports, betting, media, technology, digital content, financial servicesor telecommunications industries.

Experience working with cloud-based analytical environments and data platforms.

Understanding of machine learning, anomaly detectionor behavioural modelling.

Experience with graph analytics and network analysis techniques.

Knowledge of API integrations and data engineering concepts.

Additional Information

At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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