We are looking for a motivated Working Student Fraud Software Development / Automation to support our Fraud Engineering team. In this role, you will help build internal tools, automation scripts, data integrations, and lightweight backend services that improve fraud workflows and support scalable fraud prevention processes in a modern e-commerce environment.
You will work closely with Fraud Engineering on automation, internal tooling, APIs, fraud prevention systems, SQL, Python, and software development to reduce manual effort and improve operational efficiency without adding unnecessary complexity.