Senior eCommerce Compliance & Fraud Specialist (f/m/d)

<p><strong>Purpose of Position</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p> </p> <p><strong>Key Responsibilities</strong></p> <p> </p> <p><strong>Advanced Fraud Investigation & Risk Management</strong></p> <ul> <li>Lead complex, high-impact fraud investigations across publishers, partners, and traffic sources.</li> <li>Identify sophisticated fraud schemes (e.g., attribution manipulation, cookie stuffing, incentive abuse, lead fraud, paid search abuse, extension-based activity, etc.).</li> <li>Act as an escalation point for challenging or ambiguous cases within the team.</li> <li>Make informed enforcement decisions balancing risk, commercial impact, and fairness.</li> </ul> <p><strong><br>Publisher & Partner Risk Assessment</strong></p> <ul> <li>Conduct in-depth reviews of publisher business models, traffic acquisition strategies, and monetization methods.</li> <li>Evaluate CPA, CPC, and hybrid performance models for risk exposure and abuse potential.</li> <li>Monitor lifecycle and behavioral signals across publisher activity to proactively identify risks.</li> <li>Partner closely with internal stakeholders to assess onboarding and ongoing publisher quality.</li> </ul> <p><strong><br>Data-Driven Analysis & Monitoring</strong></p> <ul> <li>Perform advanced data analysis using tools such as SQL, Power BI, DataBricks, or equivalent platforms.</li> <li>Build and refine repeatable analytical frameworks for fraud detection and monitoring.</li>