Bachelor's Degree or equivalent work experience: Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline required or equivalent experience.
Prior experience working with credit bureau data.
5+ Years Analytics in Financial Services Industry.
Ability to delegate and co-ordinate multiple tasks related to the development and monitoring of statistical models.
Ability to translate analysis into a clear business plan.
5+ Years Prior experience developing credit scoring models
Ability to effectively explain advanced mathematical concepts, techniques, and analyses to a business audience.
5+ Years Indirect subprime Auto Financial Services Industry experience.
Demonstrated experience with logistic regression models, segmentation and variable reduction techniques, hypothesis testing, neural networks, design of experiments, ANOVA, decision trees, and linear regression.
Prior experience using SAS, particularly SAS base, SAS/STAT, PROC SQL, and SAS Macro programming. Additional knowledge of R preferred.
Demonstrated ability to create complex pivot tables in MS Excel.
Strong written and verbal communication skills.
Demonstrated ability to merge, concatenate, clean, and prepare extremely large datasets for statistical analysis and mathematical model development.
Demonstrated ability to use SQL and SAS to extract data from multiple data sources.