Manager, Data Scientist - Model Risk Office
Core
Validating and building statistical or machine learning models to safeguard the company from model failures while enhancing decision-making, including unique risks associated with Generative AI.
Role type
Manager, Data Scientist (Model Risk)
Builds
Robust model validation techniques and tools for Risk Management and the broader Enterprise
Domain
Financial Services / Model Risk Management
Deliverable
production ML models
Required skills
statistical modeling, machine learning, model validation, backtesting, relational databases, large-scale data analysis, Python, SQL, AWS
Preferred skills
financial modeling, financial model validation, Scala, R, deep learning, clustering, classification, sentiment analysis, time series
Technologies
Python, Conda, AWS, H2O, Spark, SQL, Scala, R
Responsibilities
Partner with cross-functional teams to deliver products; leverage technology stacks to reveal insights in numeric and textual data; validate and build models through design, training, evaluation, and implementation; translate technical complexity into business goals.
Seniority
Manager, hands-on IC with leadership responsibilities