Klarna is seeking a Lead Data Scientist to shape the next generation of consumer-level credit scoring and portfolio valuation models. You will design and maintain real-time PD models and calibration frameworks for underwriting and return optimization.
Collaborate with cross-functional teams, translate insights into policy, and mentor junior staff. Strong Python/SQL, XGBoost, scikit-learn, and MLFlow experience required; familiarity with SHAP/LIME/PDP for explainability is preferred.
#J-18808-LjbffrLead Credit Risk Data Scientist – Real-Time Scoring in London employer: Klarna
Klarna is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about fintech and machine learning. With a focus on employee growth, you will have access to cutting-edge projects and the opportunity to make a tangible impact within a collaborative team environment. Located in a vibrant tech hub, Klarna offers unique advantages such as flexible working arrangements and a commitment to professional development.
