Working Student Fraud Data Engineering / Analytics (all genders)

BESTSECRET is the leading European online destination for premium and luxury off-price fashion. The Group offers its members in 28 countries across Europe a superior brand portfolio complemented by a high-end shopping experience. At the same time, BESTSECRET enables its brand partners to clear overstock at scale with minimum visibility and maximum brand equity protection. The unique business model is based on its closed character with an invitation-only customer membership, longstanding brand partner and customer relationships, combined with a tech-focused mindset. BESTSECRET has a strong track record of profitable growth over many years. It generated revenues of EUR 1,533.7 million in 2025 and employs around 2,200 people from over 90 nations. The Group draws on a heritage of 100 years in the textile and fashion industry and today is owned by Permira Funds and the founding families Schustermann and Borenstein.

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.

Your Responsibilities

• Support the Fraud Engineering team with data analysis, fraud monitoring, and fraud investigation across e-commerce processes
• Prepare, structure, and analyze large datasets using SQL, Python, and analytics tools
• Contribute to the development of fraud detection logic, dashboards, reporting solutions, and internal fraud analytics tools
• Help identify fraud patterns, suspicious behavior, account abuse, payment fraud, and operational anomalies through data-driven insights
• Collaborate closely with cross-functional teams to improve scalable fraud prevention processes and data quality standards

Your Profile

• Ongoing Master’s studies in Data Science, Data Engineering, Computer Science, Business Informatics, Statistics, Mathematics, or a comparable technical field
• Good practical knowledge of SQL and experience working with structured datasets and analytical workflows
• Basic experience with Python for scripting, automation, or data analysis
• Strong analytical mindset with interest in Fraud Detection, Risk Analytics, Payment Fraud, Account Abuse, and E-Commerce
• Structured and hands-on working style with the ability to work independently while collaborating closely with the team

At BESTSECRET, diversity isn't just a trend – it's our professional philosophy. We are dedicated to cultivating an inclusive workplace where everyone's unique talents and backgrounds are celebrated. Applicants from all backgrounds, experiences and perspectives are welcome to join us in our mission towards a more vibrant and inclusive future.