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Sportradar Group AG

Trading Investigator

Posted One Month Ago
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In-Office
London, Greater London, England, GBR
Junior
In-Office
London, Greater London, England, GBR
Junior
Analyze complex datasets to identify unauthorized usage, revenue leakage, fraud indicators, anomalies, risks, and commercial opportunities. Develop monitoring frameworks, dashboards, visualizations, automated reporting processes, and investigative methodologies. Partner with intelligence, commercial, data science, product, and engineering teams to support revenue protection investigations and translate quantitative, behavioral, trend, and network analysis into actionable business intelligence.
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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. 
  • Expertise in statistical analysis, data modelling and visualisation techniques.
  • Experience transforming and analysing data from multiple sources and presenting insights through dashboards and visualisations using Power BI, Tableau, Looker, or similar business intelligence tools to translate data into actionable insights and recommendations.
  • Analytical and problem-solving mindset, with the ability to identify patterns and root causes to translate data into actionable insights and recommendations.
  • 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. 

OUR OFFER:

  • A collaborative environment with colleagues from all over the world (Offices in Europe, Asia and US) including various social events and teambuilding. 
  • Flexibility to manage your workday and tasks with autonomy. 
  • A balance of structure and autonomy to tackle your daily tasks. 
  • Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. 
  • Global Employee Assistance Programme. 
  • Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). 
  • Online training videos. 
  • Flexible working hours.

While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together.

OUR RECRUITMENT PROCESS: 

  • Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. 
  • Two Hiring Team Interviews: Meet with the Hiring team and Hiring Manager to dive into your expertise, as also discuss team fit. 
  • Final Steps: Receive feedback and, if successful, an offer! 

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

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