Senior Associate, Data Science - 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 portfolios.
Role type
Senior Associate, Data Scientist (Consumer Credit Risk Models & Data)
Builds
Machine learning models and execution platforms for loss modeling, stress testing, and capital allocation
Domain
Financial Services / Consumer Credit Risk
Deliverable
production ML models
Required skills
Python, SQL, Machine Learning, Statistical Modeling, Data Analytics, Cloud Computing, AWS, Spark
Preferred skills
Master's or PhD in STEM, AWS experience, Scala or R experience
Technologies
Python, Conda, AWS, Spark, SQL
Responsibilities
Partner with cross-functional teams to deliver data science solutions; Optimize and deploy ML models through design, training, evaluation, and implementation; Leverage big data technologies to analyze customer records and reveal insights; Translate technical complexity into tangible business goals.
Seniority
Senior, hands-on IC
