14 set - Varese
Klarna
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.
ResponsabilitàDevelop end-to-end ML models from raw data to production
Engineer features from transactional/financial data for affordability and risk modeling
Model fraud scores and default probability
Deploy and operationalize models in collaboration with engineering
Monitor model performance and impact via dashboards
Collaborate with Credit Modeling and Fraud teams to align goals and infrastructure
Requisiti fondamentaliExperience building and deploying ML models end to end
Strong feature engineering skills with transactional/financial data
Proficient in Python and SQL
Experience in AWS environments
Solid understanding of classification modeling for risk or fraud
Strong communication and cross-functional collaboration with Credit Modeling and Fraud teams
Ownership-driven mindset and ability to build infrastructure from scratch
strong communication
ownership mindset
cross-functional collaboration
Python
SQL
AWS
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