A company is looking for a Data Scientist, Credit Risk.
Key Responsibilities
Design and develop statistical and machine learning models for credit risk parameters across various lending products
Execute the full model development lifecycle from data exploration to deployment
Collaborate with cross-functional teams to translate business requirements into technical specifications
Required Qualifications
5+ years of experience in predictive modeling and collaboration across data science, engineering, and product teams
Proven experience in developing credit risk models for consumer lending products
Expert proficiency in Python and SQL with hands-on experience in model development and validation
Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field
Experience with regulatory frameworks and model risk management practices in financial services
Data Scientist Credit • Saint Paul, Minnesota, United States