Fraud Analyst

Job description

Are you driven by analytics, automation, and stopping fraud before it happens? Join our fintech bank and help us design the next generation of data-driven fraud prevention in Sweden. As a Fraud Analyst, you will work at the intersection of data science, risk, and real-time decisioning. You will develop, test, and optimize fraud detection models across lending, cards, and payments. Your analyses will directly influence risk appetite, customer experience, and portfolio performance. You will: Analyze large, complex datasets to detect fraud patterns and emerging attack vectors Develop and maintain fraud models, rules, and monitoring frameworks Build dashboards and reporting that translate risk signals into actionable insight Partner closely with Fraud Prevention, Credit Underwriting, IT, and Data Engineering Continuously improve automation, decision engines, and model performance This is a hands-on role in a fast-moving environment where your work directly impacts loss rates, approval rates, and customer trust. Who you are 5+ years experience in data science, analytics, or quantitative risk roles within a bank, fintech or related industry Strong knowledge of machine learning, statistic...