Data Scientist
Core
Designing and launching a centralized transaction risk-scoring engine for fraud and AML risk intelligence products.
Role type
Senior IC data scientist (fraud risk)
Builds
Centralized transaction risk-scoring engine and production-ready ML prototypes
Domain
FinTech, fraud detection, AML
Deliverable
production ML models
Required skills
Python, pandas, scikit-learn, PyTorch, MLflow, statistical analysis, model tuning, algorithm selection, data pipeline design, backend development basics, model interpretability
Preferred skills
experience in high-noise domains, quick prototyping, full-stack data science
Responsibilities
Build quick-turnaround ML prototypes to validate hypotheses, collaborate with product and ML engineering to scale POCs, explore financial datasets for patterns, select algorithms for specific problems, fine-tune models considering interpretability, define success metrics for fraud detection
Seniority
Senior, hands-on IC
