Manager, Data Scientist - Model Risk Office
Core
Lead model risk validation and governance for deployed machine learning models, including Generative AI, to safeguard the enterprise from model failures.
Role type
Manager, Data Scientist (Model Risk)
Builds
Model governance frameworks and validation reports for production ML systems
Domain
Financial Services / Model Risk Management / Generative AI
Deliverable
production ML models | dashboards & analysis
Required skills
Model validation, statistical analysis, risk quantification, GenAI evaluation, relational/vector databases, Python, machine learning
Preferred skills
AWS, fraud detection, digital marketing, cybersecurity, Scala, R, deep learning
Technologies
PyTorch, Hugging Face, LangChain, Vector Databases, LLMOps
Responsibilities
Partner with cross-functional teams to identify and quantify model risks; Build ML models to challenge champion models; Validate models across business domains; Present model risk insights to executives
Seniority
Manager, hands-on IC with team leadership
