Affiliates Fraud Prevention Analyst

• Monitor affiliate activity, CPA campaigns, and client acquisition channels to identify suspicious patterns, abnormal behaviour, and potential fraud, including fake registrations, incentive abuse, traffic manipulation, and non-genuine acquisitions.
  
• Investigate and manage affiliate fraud cases from detection and analysis through corrective actions and post-investigation monitoring, using referral activity, customer behaviour, device information, IP addresses, and other relevant data.
  
• Analyse affiliate and acquisition data to identify irregular activity, emerging fraud trends, potential system faults, and opportunities to prevent abuse.
  
• Review affiliate performance and CPA-related claims to assess the legitimacy of referred clients and acquisitions, ensuring alignment with internal policies and applicable partner agreements.
  
• Document investigations, findings, actions, and case management procedures, and prepare reports to support fraud trend analysis and consistent decision-making.
  
• Contribute to the development and refinement of fraud detection models, monitoring rules, and preventive controls across affiliate activity and acquisition campaigns.
  
• Collaborate with Compliance, Risk, Marketing, and Technology teams to investigate suspicious affiliate activity, mitigate fraud risks, and continuously improve fraud prevention processes.
  

Requirements

• Strong analytical and investigative skills, with attention to detail and the ability to identify irregular patterns in affiliate and client acquisition data.
  
• Good knowledge of Excel or Google Sheets; familiarity with DAX and data models is an advantage.
  
• Understanding of affiliate fraud risks and CPA-related abuse, such as fake leads, self-referrals, duplicate accounts, bot traffic, click fraud, and incentive abuse.
  
• Ability to investigate multiple cases, document findings clearly, and apply sound problem-solving skills.
  
• Excellent communication skills and proficiency in English, both written and spoken.
  
• Experience with fraud detection tools, CRM systems, web analytics, SQL, or BI reporting solutions is an advantage.
  
• Previous experience in anti-fraud, affiliate risk, AML, risk management, or digital acquisition analytics is considered a plus.
  

Benefits

• Hybrid Work Model (2 days working from home)
  
• Wolt Meal Allowance
  
• Comprehensive Health Insurance
  
• Provident Fund (Upon completion of the trial period)
  
• Summer Short Fridays (August)
  
• Additional Paid Annual Leave (up to 30 days, based on years of service)
  
• Birthday Leave
  
• Udemy Business access
  
• Gym Membership
  
• Referral Bonus Program
  

• Visa Sponsorship and Relocation Assistance