Senior Associate, Data Scientist - Model Risk Office
Core
Partner with cross-functional teams to identify, quantify, and validate risks associated with deployed machine learning models and emerging GenAI technologies.
Role type
Senior Associate, Model Risk Data Scientist
Builds
Model governance frameworks and validation techniques for production ML models
Domain
Financial services / Model Risk Management / Generative AI
Deliverable
production ML models
Required skills
statistical modeling, machine learning validation, backtesting, data analysis, Python, SQL, cloud computing
Preferred skills
AWS, Scala, R, deep learning, time series analysis
Technologies
PyTorch, Hugging Face, LangChain, Vector Databases, LLMOps
Responsibilities
Partner with data scientists and engineers to identify model risks; Build ML models to challenge champion models; Validate models across business domains; Present model risk insights to executives
Seniority
Senior, hands-on IC