Network Quality Intelligence Specialist

Purpose of Position

The Network Quality Intelligence Specialist plays a key role in protecting the integrity of the Awin network by deg, supporting, and executing fraud detection, fraud handling, compliance, and risk mitigation processes across the network. The role requires a strong technical mindset, particularly in working with data, interpreting system outputs, and investigating behavioural patterns within datasets associated with fraudulent or non-compliant activity.

The specialist will contribute to maintaining the security and commercial trust of the platform, its advertisers, publishers, and third-party partners by applying structured analytical methods to detect, prevent, and respond to suspicious, abusive, or fraudulent behavior. A fundamental understanding of affiliate marketing mechanics, tracking technology, and performance attribution is essential to this role.

Key Responsibilities

Publisher and Partner Risk Assessment

• Conduct technical and behavioral reviews of publisher operations on the Awin network, handle communications with Publisher, Advertisers, and Agency client, and activity signals to ensure compliance with platform policies.
• Analyze publisher websites, traffic behavior, and business models to identify fraud, compliance, or quality risks.
• Monitor lifecycle activity patterns using platform data, which includes tracking signals, and performance metrics.

Data Investigation and Monitoring

• Perform structured investigations using reporting tools, query-based logic, and business intelligence platforms such as PowerBI and SQL.
• Identify anomalies in conversion patterns, payment flows, traffic sources, and engagement behavior.
• Develop repeatable investigation approaches using SQL-like logic, reporting dashboards, or platform analytics tools.

Fraud Detection and Process Improvement

• Support the development of fraud and risk detection strategies using rule-based analysis, behavioral signals, and emerging intelligence methods.
• Document investigation outcomes, enforcement decisions, and risk insights.
• Contribute to continuous improvement of monitoring workflows and analytical capabilities.

Payment, Tracking, and Performance Monitoring

• Monitor publisher earnings, conversion attribution signals, and transaction flows across network platforms.
• Identify irregularities such as abnormal conversion rates, click-to-conversion timing anomalies, or traffic quality concerns.
• Develop a practical understanding of affiliate tracking mechanisms, including cookie-based attribution, redirect flows, and event capture.

Advisory and Stakeholder Support

• Provide guidance to internal teams and external partners on fraud prevention, compliance standards, and network quality best practices.
• Translate technical findings into clear operational insights for both technical and non-technical audiences.
• Communicate investigation findings and risk decisions to clients, partners, and internal and external stakeholders in a clear, professional, and commercially aware manner.

Skills & Technical Expertise Requirements

• Minimum of 2 years experience in fraud investigation, risk operations, or technical customer operations within digital platforms, fintech, advertising technology, or e-commerce environments.
• Strong analytical mindset with the ability to interpret structured data outputs and investigate complex behavioural patterns.
• Intermediate proficiency in query-based analysis (SQL or equivalent logical query thinking is highly desirable).
• Fundamental understanding of affiliate marketing ecosystems, including tracking technology, attribution logic, and performance measurement.
• Proven experience working with reporting and visualization tools such as Tableau, Power BI, or similar BI platforms.
• Ability to interpret operational data signals and apply structured reasoning to identify risk or compliance concerns.
• Ability to work with operational workflow tools such as Asana or comparable task XXXX XXXX.
• Experience using workflow or ticketing platforms such as Salesforce, Zendesk, or equivalent case management systems.
• Experience analyzing web intelligence tools such as SimilarWeb or equivalent platforms.
• Experience with AI/ML-assisted risk detection concepts.
• Comfort working with technical documentation and operational datasets.
• Fluency in English is required (knowledge of German is advantageous but not essential)

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Flexi-Office: We offer an international culture an