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# Working Student Fraud Data Engineering / Analytics (all genders)

- **Company:** BestSecret Group
- **Location:** Berlin, Germany
- **Contract:** Temporary contract
- **Skills:** Data Analysis, Big Data, Information Engineering, Fraud Prevention and Detection, Python (Programming Language), Standard Sql, SQL Databases, Information Technology, Data Analytics, Tools for Reporting
- **Published:** May 29, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=8f2dc174dc61f3e5

## About the Role

Do you have experience in Scripting?, Do you have a Master's degree?, * 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

#LI-MT1; #LI-HybridMunich; #LI-HybridBerlin

## Description

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


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