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AWAwin

Senior eCommerce Compliance & Fraud Specialist(m/w/x)

Berlin
Full-timeWith Home OfficeSenior
AI/ML

Investigating complex fraud schemes like attribution manipulation and cookie stuffing. 3+ years affiliate marketing or fraud prevention experience required. Flexible four-day Flexi-Week with no reduction to holiday allowance.

Requirements

  • 3+ years affiliate marketing, fraud prevention, adtech, or risk/compliance experience
  • Hands-on affiliate fraud detection and prevention experience
  • Deep understanding of CPA, CPC, and performance marketing
  • Strong knowledge of affiliate tracking technologies, attribution, and flows
  • Advanced analytical capabilities with SQL or equivalent
  • Experience with data visualization tools (Power BI, Tableau)
  • Ability to analyze complex datasets and identify patterns
  • Experience with fraud detection tools and web intelligence platforms
  • Familiarity with AI/ML concepts in fraud detection (plus)
  • Experience with workflow/ticketing systems (Salesforce, Zendesk, Asana)
  • Strong problem-solving skills and proactive mindset
  • Ability to operate independently and take ownership
  • Fluency in English (C1+ level)
  • Additional languages (e.g., German) are a plus

Tasks

  • Lead complex fraud investigations across publishers, partners, and traffic sources
  • Identify sophisticated fraud schemes like attribution manipulation, cookie stuffing, and lead fraud
  • Act as an escalation point for challenging cases within the team
  • Make informed enforcement decisions balancing risk, commercial impact, and fairness
  • Conduct in-depth reviews of publisher business models and traffic acquisition strategies
  • Evaluate CPA, CPC, and hybrid performance models for risk exposure
  • Monitor lifecycle and behavioral signals to proactively identify risks
  • Partner with internal stakeholders to assess onboarding and ongoing publisher quality
  • Perform advanced data analysis using SQL, Power BI, DataBricks, or similar tools
  • Build and refine repeatable analytical frameworks for fraud detection
  • Translate data insights into actionable recommendations and controls
  • Contribute to the development of fraud detection methodologies
  • Identify gaps in current processes and propose scalable improvements
  • Collaborate on the evolution of network policies and enforcement frameworks
  • Support integration of new tools, automation, and AI/ML-assisted detection methods
  • Develop deep understanding of affiliate tracking mechanisms
  • Analyze how tracking setups can be exploited and recommend mitigation strategies
  • Support internal teams and clients in understanding tracking-related risks
  • Act as a trusted advisor on fraud and network quality topics
  • Provide clear, data-backed guidance to advertisers and partners
  • Translate complex technical findings into commercially relevant insights
  • Support training and knowledge sharing within the team
  • Handle day-to-day cases while driving workflow efficiency
  • Ensure consistent documentation of investigations, decisions, and learnings
  • Balance operational responsibilities with strategic contributions

Work Experience

  • 3 years

Education

  • Vocational certificationOR
  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent
  • GermanBasic

Tools & Technologies

  • SQL
  • Power BI
  • Tableau
  • SimilarWeb
  • Salesforce
  • Zendesk
  • Asana

Benefits

Flexible Working

  • Flexible four-day Flexi-Week
  • Flexi-Office
  • Hybrid/remote work possibilities
  • Remote workspace setup support

Competitive Pay

  • Full pay

More Vacation Days

  • Paid special leaves

Additional Allowances

  • Monthly remote working allowance

Learning & Development

  • Awin Academy training suite

Other Benefits

  • Application and interview support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Awin and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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