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 portfolios.
Role type
Senior Associate, Data Scientist (Consumer Credit Risk Models and 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, Time Series Analysis, Clustering, Classification
Preferred skills
AWS, Scala, R, PhD in STEM, Experience with H2O or Spark
Technologies
Python, Conda, AWS, H2O, Spark, SQL
Responsibilities
Partner with cross-functional teams to deliver data-driven solutions; Build machine learning models through design, training, evaluation, and implementation; Leverage big data technologies to analyze numeric and textual data; Deploy and optimize model pipelines and execution platforms.
Seniority
Senior Associate, hands-on IC
