Senior Associate, Data Scientist - Consumer Credit Risk Models and Data
Core
Build and deploy predictive models for losses, account volumes, and outstanding balances to drive strategic decisions on loss allowances, stress testing, and capital allocation for consumer credit risk.
Role type
Senior Associate, Data Scientist (Consumer Credit Risk Models & Data)
Builds
Machine learning models and optimized model pipelines for loss prediction and capital allocation
Domain
Financial Services / Consumer Credit Risk
Deliverable
production ML models
Required skills
Machine learning, Python, SQL, statistical modeling, data analysis, cloud computing
Preferred skills
AWS, Scala, R, deep learning, time series analysis
Technologies
Python, Conda, AWS, H2O, Spark
Responsibilities
Build machine learning models through design, training, evaluation, validation, and implementation; Partner with cross-functional teams to deliver data-driven solutions; Leverage technologies to reveal insights from large volumes of numeric and textual data; Deploy and optimize model pipelines and execution platforms
Seniority
Senior, hands-on IC