Data Scientist | KYC @ING Hubs Romania
Core
Develop and validate machine-learning-based solutions for fraud detection and risk summarization to support ING's digital transformation.
Role type
Machine Learning Engineer (Fraud & Risk)
Builds
Production-ready ML models for fraud prevention and risk analysis
Domain
Banking / Financial Services / Anti-Money Laundering (AML)
Deliverable
production ML models
Required skills
Python, Apache Spark, SQL, Git, supervised learning, unsupervised learning
Preferred skills
End-to-end ML project experience, object-oriented programming, production code deployment
Technologies
Python, Apache Spark, SQL, Git
Responsibilities
Develop machine learning solutions, prepare fraud models for production deployment, evaluate model performance, collaborate on model governance
Seniority
Mid-level, hands-on IC
Sourced via workday · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
