Senior Manager, Data Science - Model Risk
Core
Lead model risk management by validating, backtesting, and monitoring machine learning models to defend against model failures and ensure reliable data-driven decision-making.
Role type
Senior Manager, Data Science (Model Risk)
Builds
Validated and monitored ML models for Risk Management and Enterprise decision-making
Domain
Financial Services / Machine Learning / Model Risk Management
Deliverable
production ML models
Required skills
Machine learning model development, model validation and backtesting, statistical analysis, relational database management, open-source programming, large-scale data analysis
Preferred skills
AWS usage, people management, Python/Scala/R for large-scale analysis
Technologies
Python, Conda, AWS, H2O, Spark, Relational Databases
Responsibilities
Partner with cross-functional teams to deliver data products, build ML models through design to implementation, leverage technologies to reveal insights in large data volumes, translate technical complexity into business goals
Seniority
Senior, hands-on IC with leadership responsibilities
