Senior Manager, Data Science - Model Risk Office
Core
Evaluating risk for card fraud models across the customer lifecycle (application, transaction, payment) and building independent challenger models to ensure effective oversight.
Role type
Senior Manager, Data Science (Model Risk)
Builds
Independent challenger models and risk assessments for card fraud detection systems
Domain
Financial services / Credit card fraud / Machine Learning
Deliverable
production ML models
Required skills
Graph algorithms, Neural networks, Tree-based methods, Sequence modeling, Model validation, Backtesting, Clustering, Classification, Sentiment analysis, Time series, Deep learning, Relational databases, Open-source programming
Preferred skills
AWS, People management, Kubeflow, Kubernetes, Python, Scala, R, Large-scale data analysis, ML model deployment pipelines
Technologies
Python, Conda, AWS, H2O, Spark, Kubeflow, Kubernetes
Responsibilities
Partner with cross-functional teams to deliver fraud detection products, build ML models through design to implementation, investigate advanced algorithms for challenger models, mentor junior data scientists, oversee card fraud model risk
Seniority
Senior Manager, hands-on IC with leadership responsibilities