Senior Data Scientist

1 giorno fa

monza, lombardy, Italia Klarna Tempo pieno
In this second-line role, you validate fraud models used to protect payments, logins, and identity at Klarna. You’ll reproduce results, stress-test methodologies, and ensure governance and production readiness across the full model lifecycle. You work closely with first-line teams to surface risks and maintain model trust at scale. You’ll shape validation tooling and agentic AI workflows to keep validation pace with rapid development. This is a mission-driven opportunity to strengthen fraud defenses at a large, data-driven fintech.
competitive compensation
hybrid/onsite work (2–3 days in office)
diverse, inclusive culture
opportunity to work with cutting-edge AI
impactful role in safeguarding payments
career growth and cross-team collaboration
Assess model performance using fraud-specific metrics and balance business trade-offs
Review large transaction datasets and feature pipelines for representativeness and leakage
Evaluate drift detection, retraining strategies, and production monitoring
Assess CI/CD and deployment controls (Docker, Jenkins, AWS) for model environments
Evaluate governance documentation, explainability, and regulatory compliance
Validate emerging techniques (graph networks, anomaly detection, GenAI-based systems) and document risks
Communicate validation outcomes and risks to data scientists, ML engineers, and stakeholders
3+ years hands-on fraud modeling
Fluency in Python and SQL; experience with PySpark or Spark
Experience with tree-based models (LightGBM), anomaly detection, graph/network models
Experience across ML lifecycle from feature engineering to deployment and monitoring
Ability to explain complex models and communicate to non-technical stakeholders
Knowledge of model risk governance, bias, fairness, and privacy considerations
Experience building or validating agentic AI workflows
Bonus: advanced degree in quantitative field; domain experience in BNPL or