Data Scientist - Fraud Detection | Data Scientist:in (w/x/m) – Fraud Detection in Frankfurt / remote / hybrid

Job Summary

Join a rapidly expanding FinTech focused on developing scalable, data-driven solutions to effectively combat financial crime across Europe. As a Data Scientist specializing in Fraud Detection, you will be integral to developing and improving cutting-edge Machine Learning models designed to detect and prevent fraudulent activities. Your daily responsibilities will span the entire model lifecycle, including analyzing complex transaction and behavioral data, performing feature engineering, model training, validation, and continuous monitoring in a production environment. Success in this role requires a background in Data Science, Computer Science, or a related quantitative field, coupled with practical experience in applied Machine Learning, excellent Python proficiency, and a solid understanding of classification and anomaly detection techniques. This position offers the opportunity for meaningful work, high autonomy, flexible working hours, and the option for 100% remote work, allowing you to contribute directly to strengthening trust in digital financial systems.