Klarna is rebuilding its fraud detection systems in London with full ownership from raw data to production models. You will design and deploy model-driven architectures that scale across hundreds of millions of transactions, working with engineers, analysts, and stakeholders to ship cutting-edge fraud detection solutions.
The role emphasizes end-to-end ML responsibilities, from feature engineering to monitoring and retraining, leveraging graph networks and anomaly detection to drive real impact.