Fraud Prevention Specialist

hace 3 días


Madrid, Madrid, España Awin A tiempo completo
About the Role

The Fraud Prevention Specialist is a critical position within our organization, responsible for driving and executing the development and implementation of robust anti-fraud procedures. This role is central to preventing, detecting, and responding to fraudulent activity that threatens our organization, our clients, and our partners.

Key Responsibilities
  • Conduct thorough reviews of new publisher registrations and communications to ensure compliance and authenticity.
  • Perform regular audits during the publisher lifecycle to identify and address any anomalies.
  • Review publisher payments on Awin and ShareASale platforms, focusing on identifying and analyzing any irregularities.
  • Develop and implement comprehensive fraud detection and prevention measures and tools.
  • Maintain detailed records of fraud management activities and sanctions, and effectively communicate findings to relevant stakeholders.
  • Conduct extensive investigations of publisher activities and documentation for decision-making purposes.
  • Collaborate with team members and stakeholders to enhance processes, tools, and quality of operations continuously.
Requirements
  • At least 2 years' experience in customer service and/or fraud investigations is mandatory.
  • Relevant experience in an online setting is highly preferred, indicating familiarity with digital platforms and e-commerce environments.
  • Exhibits outstanding client service skills, with a track record of proactivity and a proven ability to enhance client performance.
  • Possesses strong time management skills and the flexibility to adapt to changing circumstances and challenges.
  • Capable of managing multiple projects simultaneously in a fast-paced setting, demonstrating efficiency and effectiveness.
  • Shows a strong drive to take ownership of tasks and accepts full accountability for the quality and outcomes of their own work.
  • Maintains a positive outlook with a strong team orientation and a demonstrated 'can-do' attitude, contributing positively to team dynamics and morale.
  • Demonstrated skill in using the MS Office suite, especially MS Excel and Power BI.
  • A strong willingness to learn and adapt to new technology systems, network tools, and processes is essential.
  • Initial experience with, and a keen interest in, managing and developing AI/ML/LLM systems for anomaly detection.


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