Senior eCommerce Fraud & Compliance Specialist

Awin • Chicago, IL

1d • Remote

About The Position

The 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.

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.
• 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 Haves

• Familiarity with AI/ML concepts in fraud detection is a plus.

Responsibilities

• Lead complex, high-impact fraud investigations across publishers, partners, and traffic sources.
• Identify sophisticated fraud schemes (e.g., attribution manipulation, cookie stuffing, incentive abuse, lead fraud, paid search abuse, extension-based activity, etc.).
• 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.

Benefits

• Flexi-Week (four-day work week at full pay)
• Variety of different paid special leaves
• Monthly allowance for remote working costs
• Support for setting up remote workspace
• International culture and flexibility through Flexi-Office and hybrid/remote work possibilities
• Access to Awin Academy for professional and personal development

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed