Sportradar Group AG Logo

Sportradar Group AG

Trading Investigator

Posted 3 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Junior
In-Office
London, Greater London, England, GBR
Junior
Analyzes complex datasets to identify unauthorized usage, revenue leakage, fraud indicators, anomalies, contractual non-compliance, and commercial opportunities. The role develops monitoring frameworks, dashboards, automated reporting processes, and investigative methodologies while partnering with intelligence, commercial, data science, product, and engineering teams to produce actionable revenue protection insights.
The summary above was generated by AI
Company 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 

 

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

 

The role will focus on identifying trends, anomalies, suspicious activity and commercial opportunities across Sportradar's products, services and 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 will possess strong 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, 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. 

 

YOUR PROFILE 

  • 2+ years' experience in data analytics, business intelligence, fraud analytics, revenue assurance, investigations, compliance, risk management 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.  

 

Advantageous 

  • Experience in sports, betting, media, technology, digital content, financial services or telecommunications industries.  

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

  • Understanding of machine learning, anomaly detection or behavioural modelling.  

  • Experience with graph analytics and network analysis techniques.  

  • Knowledge of API integrations and data engineering concepts.  

  • Additional language skills. 

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. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

Sportradar Group AG London, England Office

London, United Kingdom

Similar Jobs

24 Minutes Ago
In-Office
London, Greater London, England, GBR
Expert/Leader
Expert/Leader
Fintech • Information Technology • Financial Services
Lead product strategy and delivery for Aladdin's wealth management technology. Define roadmap, embed AI and API-led integrations, drive cross-functional squads, engage clients and partners, and deliver scalable solutions for discretionary portfolios, advisory services, execution-only accounts, model management, trading, and reporting.
Top Skills: AIAladdinAPIsArcherAvaloqCharles River WealthCRMCustodial IntegrationsDataEnvestnetFnzInvestcloud AplOrder Management SystemPortfolio Management SystemSeiTemenos
40 Minutes Ago
Hybrid
London, Greater London, England, GBR
Mid level
Mid level
Artificial Intelligence • Software
As a Model Developer, you will deliver end-to-end model solutions using Python, collaborate with actuarial teams, mentor juniors, and improve model development practices.
Top Skills: Python
40 Minutes Ago
Hybrid
London, Greater London, England, GBR
Junior
Junior
Artificial Intelligence • Software
Serve as the front-line SysSec contact: triage and resolve incoming requests, reduce recurring work via automations and scripts, partner with teams to improve device/application/AI tooling, and contribute ~20% to platform and infrastructure design.
Top Skills: Ai ToolsAutomation ScriptingConnectorsData InfrastructureIntegrationsSso

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account