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The eCommerce Compliance & Fraud Specialist (internal job title: Senior Network Quality Intelligence Specialist) plays a critical role in safeguarding the integrity, trust, and commercial viability of the Awin network. This role goes beyond standard investigation and operational support, requiring deep expertise in affiliate marketing, tracking technologies, and fraud methodologies. This individual will lead complex fraud investigations, proactively identify emerging risks, and contribute to the design and evolution of network-wide fraud prevention strategies. They will act as a subject matter expert (SME) within the Network Quality team, supporting both day-to-day operations and higher-level strategic initiatives. The role requires a strong analytical and data-driven mindset, with the ability to interpret complex datasets, understand attribution mechanics (CPA, CPC, hybrid models), and identify nuanced patterns of abuse across the affiliate ecosystem. The ideal candidate brings hands-on experience in affiliate fraud, understands how bad actors operate, and can translate that knowledge into scalable detection and prevention mechanisms.
Job Responsibility:
Lead complex, high-impact fraud investigations across publishers, partners, and traffic sources
Act as an escalation point for challenging or ambiguous cases within the team
Make informed enforcement decisions balancing risk, commercial impact, and fairness
Conduct in-depth reviews of publisher business models, traffic acquisition strategies, and monetization methods
Evaluate CPA, CPC, and hybrid performance models for risk exposure and abuse potential
Monitor lifecycle and behavioral signals across publisher activity to proactively identify risks
Partner closely with internal stakeholders to assess onboarding and ongoing publisher quality
Perform advanced data analysis using tools such as SQL, Power BI, DataBricks, or equivalent platforms
Build and refine repeatable analytical frameworks for fraud detection and monitoring
Translate data insights into actionable recommendations and controls
Contribute to the development and enhancement of fraud detection methodologies, including rule-based systems and data-driven approaches
Identify gaps in current processes and propose scalable improvements
Collaborate on the evolution of network policies and enforcement frameworks
Support the integration of new tools, automation, and AI/ML-assisted detection methods where applicable
Develop and apply deep understanding of affiliate tracking mechanisms, including Cookie-based attribution, Server-side tracking, Redirect flows and link structures, Cross-device and cross-channel attribution challenges
Analyze how tracking setups can be exploited and recommend mitigation strategies
Support internal teams and clients in understanding tracking-related risks and limitations
Act as a trusted advisor to Account Managers, Account Directors, and other related teams on fraud and network quality topics
Provide clear, data-backed guidance to advertisers and partners on risk mitigation and best practices
Translate complex technical findings into clear, commercially relevant insights
Support training and knowledge sharing within the team to elevate overall expertise
Support day-to-day case handling where needed, while driving efficiency improvements in workflows
Ensure consistent documentation of investigations, decisions, and learnings
Balance operational responsibilities with strategic contributions to the team
Requirements:
3+ years of experience in affiliate marketing, fraud prevention, adtech, or risk/compliance roles within digital ecosystems
Strong, hands-on experience with affiliate fraud detection and prevention, including knowledge of common fraud tactics and evolving methodologies
Deep understanding of CPA, CPC, and performance-based marketing models
Strong knowledge of affiliate tracking technologies, attribution logic, and conversion flows
Advanced analytical capabilities with experience in: SQL or equivalent query-based analysis
Data visualization tools (Power BI, Tableau, etc.)
Proven ability to analyze complex datasets and identify non-obvious patterns
Experience working with fraud detection tools, web intelligence platforms (e.g., SimilarWeb), and tracking diagnostics
Familiarity with AI/ML concepts in fraud detection is a plus
Experience with workflow/ticketing systems (e.g., Salesforce, Zendesk, Asana)
Strong problem-solving skills with a proactive, investigative mindset
Ability to operate independently and take ownership of complex issues
Fluency in English is required (C1+ level), additional languages (e.g., German) are a plus
Nice to have:
Familiarity with AI/ML concepts in fraud detection
Experience with workflow/ticketing systems (e.g., Salesforce, Zendesk, Asana)
Additional languages (e.g., German)
What we offer:
Flexi-Week and Work-Life Balance: flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance
Various different paid special leaves
Remote Working Allowance: monthly allowance to cover part of your running costs
Support in setting up your remote workspace appropriately
Flexi-Office: international culture and flexibility through Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Development: extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally