Trading Investigator

Sportradar; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

Sportradar in the United Kingdom is seeking a Trading Investigator within Revenue Protection to analyse large datasets, identify trends and support intellectual property protection and revenue recovery.

You will develop monitoring frameworks, perform quantitative analysis, and produce actionable intelligence to protect Sportradar's data, content and rights, working with cross-functional teams across product, engineering and commercial functions.

Qualifications

• 2+ years' experience in data analytics, business intelligence, fraud analytics, revenue assurance, investigations, compliance, or 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, data modelling and visualisation techniques.
• Experience building dashboards and visualisations using Power BI, Tableau, Looker or similar platforms.
• Experience extracting,transforming and analysing data from multiple structured and unstructured sources.
• Strong analytical and problem-solving skills, with the ability to identify patterns 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.

Responsibilities

• Analyse large and complex datasets relating to customer activity, product usage, content consumption, distribution channels and commercial operations.
• Develop monitoring frameworks to identify unauthorised usage, revenue leakage, abuse, fraud indicators and emerging business risks.
• Conduct quantitative analysis to identify trends, anomalies and opportunities across products, services and 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, visualisations and dashboards to support operational and strategic decision-making.
• Develop automated processes to improve monitoring, intelligence collection and 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 to identify clusters, anomalies and indicators of misuse.
• Contribute to the development of new methodologies, tools and analytical capabilities that enhance Revenue Protection operations.

Skills

SQL

Python

R

Analytical thinking

Communication

Tools

Power BI

Tableau

Looker

Data mining tools

Job description

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

Workingwithin Revenue Protection, the Trading Investigator willbe responsible foranalysing 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,servicesand 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,contentand 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,servicesand customer segments.

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

Identifyrelationships, patterns and connections across customers, users,partnersand entities of interest.

Produce analytical reports,visualisationsand 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,anomaliesand 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,transformingand 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, financialservicesor telecommunications industries.

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

Understanding of machine learning, anomalydetectionor 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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