Develop pricing and risk-based models to optimize Auto loan pricing strategies
Collaborate with credit risk, finance, data science, and product teams to deliver insights
Develop pricing frameworks that balance yield, risk, and volume objectives
Participate in the construction of credit origination and customer behavior scorecards
Requirements
Bachelor's Degree or equivalent work experience in Statistics, Economics, Operations Research, Applied Mathematics or a related quantitative discipline required
Master's Degree or Ph.D. in Statistics, Economics, Operations Research, Applied Mathematics or a related quantitative discipline preferred
3+ Years Analytics in Financial Services Industry or equivalent
Familiarity with logistic regression models, segmentation, hypothesis testing, neural networks, design of experiments, and decision trees
Demonstrated ability to use SQL and SAS to extract data
Working knowledge of Python/R preferred
Benefits
Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
pricing modelsrisk-based modelslogistic regressionsegmentationhypothesis testingneural networksdesign of experimentsdecision treesSQLSAS