Senior Data Scientist - Fraud Model Validation

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/83cgsx

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 compensationhybrid/onsite work (2–3 days in office)diverse, inclusive cultureopportunity to work with cutting-edge AIimpactful role in safeguarding paymentscareer growth and cross-team collaborationAssess model performance using fraud-specific metrics and balance business trade-offsReview large transaction datasets and feature pipelines for representativeness and leakageEvaluate drift detection, retraining strategies, and production monitoringAssess CI/CD and deployment controls (Docker, Jenkins, AWS) for model environmentsEvaluate governance documentation, explainability,



and regulatory complianceValidate emerging techniques (graph networks, anomaly detection, GenAI-based systems) and document risksCommunicate validation outcomes and risks to data scientists, ML engineers, and stakeholders3+ years hands-on fraud modelingFluency in Python and SQL; experience with PySparkor SparkExperience with tree-based models (LightGBM), anomaly detection, graph/network modelsExperience across ML lifecycle from feature engineering to deployment xysqume and monitoringAbility to explain complex models and communicate to non-technical stakeholdersKnowledge of model risk governance, bias, fairness, and privacy considerationsExperience building or validating agentic AI workflowsBonus: advanced degree in quantitative field; domain experience in BNPL or payment productsMentor or lead validation discussions is a plusability to challenge approaches constructivelydetail-oriented with risk awarenessLightGBManomaly detection#J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/83cgsx