Principal Associate, Data Scientist - SBB Fraud
Core
Build machine learning models to detect and prevent fraud in account openings, takeovers, and transactions for the Small Business Bank.
Role type
Principal Associate, Data Scientist (Fraud)
Builds
Production fraud detection models
Domain
Financial services / Fraud prevention
Deliverable
production ML models
Required skills
Statistical modeling, Machine learning, Python, SQL, Big data analysis, Deep learning, Cloud computing
Preferred skills
Experience with Dask, Spark, AWS, Graph/Sequence/Transformer models
Technologies
Python, Conda, AWS, H2O, Spark, Dask
Responsibilities
Partner with cross-functional teams to deliver fraud protection products, build and deploy ML models through design to implementation, analyze large volumes of numeric and textual data, validate and backtest models
Seniority
Principal, hands-on IC
