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

Senior Director, FP&A

Dallas, TX 75201

Sr. Category Analyst

FleetPride

Irving, TX 75014

Santander Holdings USA

Dallas, TX 75201

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