OverviewAs a Senior Data Scientist in Klarna’s Open Banking team, you build analytics that transform raw bank data into actionable insights for fraud prevention and underwriting. You craft features from cash flows, develop production-ready models for default risk and fraud scoring, and own the lifecycle from data to deployment. You collaborate with engineering to scale, monitor impact via dashboards, and align with Credit Modeling and Fraud teams. This role combines hands-on modelling with end-to-end delivery in a fast-moving fintech environment.

Responsabilità





Develop end-to-end ML models from raw data to productionEngineer features from transactional/financial data for affordability and risk modelingModel fraud scores and default probabilityDeploy and operationalize models in collaboration with engineeringMonitor model performance and impact via dashboardsCollaborate with Credit Modeling and Fraud teams to align goals and infrastructure

Requisiti fondamentali

Experience building and deploying ML models end to endStrong feature engineering skills with transactional/financial dataProficient in Python and SQLExperience in AWS environmentsSolid understanding of classification modeling for risk or fraudStrong communication and cross-functional collaboration with Credit Modeling and Fraud teamsOwnership-driven mindset and ability to build infrastructure from scratchstrong communicationownership mindsetcross-functional collaborationPythonSQLAWS

📌 Senior/Lead Data Scientist - Open Banking (Roma)
🏢 Klarna
📍 Roma