Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education
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.
Ability to delegate and co-ordinate multiple tasks related to the development and monitoring of statistical models.
Ability to maintain confidentiality..
Applicants must be legally authorized to work in the United States on a full-
time basis without requiring employer sponsorship to commence employment.
Frequent minimal physical effort such as sitting, standing and walking
is required for this role. Depending on location, occasional moving and lifting
light equipment and/or furniture may be required.