We are looking for a motivated Working Student Fraud Data Engineering / Analytics to support our Fraud Engineering team. You will work with fraud-related data, support fraud monitoring and investigation processes, and contribute to dashboards, reporting, and scalable fraud detection logic across modern e-commerce operations. This role combines Fraud Analytics, Data Engineering, SQL, Python, and Business Intelligence and offers hands-on experience in building data-driven fraud prevention solutions without impacting customer experience.
