Description
Klarna is hiring a second-line model validator to independently assess fraud models across the full machine-learning lifecycle, from data integrity and feature engineering through deployment, monitoring, drift detection, and governance. The role reviews transaction datasets, model performance, explainability, bias, fairness, privacy, CI/CD controls, and emerging techniques such as graph networks, behavioral biometrics, anomaly detection, and GenAI systems. Candidates need at least three years of hands-on fraud-related modeling experience, strong Python and SQL skills, experience with PySpark or Spark, and the ability to build agentic AI workflows.
