Senior Compliance & Fraud Specialist

• Play a critical role in safeguarding the integrity, trust, and commercial viability of the Awin affiliate network. • Lead complex fraud investigations, proactively identify emerging risks, and contribute to the design and evolution of network-wide fraud prevention strategies. • Act as a subject matter expert within the Network Quality team, supporting both day-to-day operations and higher-level strategic initiatives. • Interpret complex datasets, understand attribution mechanics (CPA, CPC, hybrid models), and identify nuanced patterns of abuse across the affiliate ecosystem.

• Bring 3+ years of experience in affiliate marketing, fraud prevention, adtech, or risk/compliance roles within digital ecosystems. • Demonstrate strong hands-on experience with affiliate fraud detection and prevention, including knowledge of common fraud tactics and evolving methodologies. • Show deep understanding of CPA, CPC, and performance-based marketing models. • Have strong knowledge of affiliate tracking technologies, attribution logic, and conversion flows. • Demonstrate advanced analytical capabilities with experience in SQL or equivalent query-based analysis and data visualisation tools (Power BI, Tableau, etc.). • Analyse complex datasets and identify non-obvious patterns. • Have experience working with fraud detection tools, web intelligence platforms (e.g. SimilarWeb), and tracking diagnostics. • Operate independently and take ownership of complex issues with a proactive, investigative mindset. • Be fluent in English at C1+ level.

• Bring familiarity with AI/ML concepts in fraud detection. • Have experience with workflow or ticketing systems such as Salesforce, Zendesk, or Asana. • Speak additional languages, particularly German. • Demonstrate experience with cookie-based attribution, server-side tracking, redirect flows, and cross-device attribution challenges.

• Lead complex, high-impact fraud investigations across publishers, partners, and traffic sources, identifying sophisticated schemes such as attribution manipulation, cookie stuffing, incentive abuse, and paid search abuse. • Act as an escalation point for challenging or ambiguous cases within the team, making informed enforcement decisions balancing risk, commercial impact, and fairness. • Conduct in-depth reviews of publisher business models, traffic acquisition strategies, and monetisation methods. • Perform advanced data analysis using tools such as SQL, Power BI, DataBricks, or equivalent platforms, building repeatable analytical frameworks for fraud detection and monitoring. • 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, supporting the integration of new tools, automation, and AI/ML-assisted detection methods. • Act as a trusted advisor to Account Managers, Account Directors, and related teams on fraud and network quality topics. • Provide clear, data-backed guidance to advertisers and partners on risk mitigation and best practices.

• Enjoy a four-day Flexi-Week with one lighter or completely disconnected day per week at full pay, with no reduction to annual holiday allowance. • Work flexibly through a hybrid working model with a monthly allowance to cover running costs and a furniture package for your home workspace. • Receive pension contributions, private medical insurance covering health, vision, and dental treatments. • Access electric vehicle and cycle-to-work schemes. • Save on childcare costs through a workplace nursery benefit with tax and National Insurance savings. • Benefit from learning and development via Awin Academy and peer-to-peer recognition programmes.

Awin is a global affiliate marketing network established in 2000, part of the Axel Springer group. The company champions diversity and inclusion, building the world's leading open partner ecosystem with a dynamic, social, and inclusive culture across a global team.