Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
8 years of experience in a decision support analytic function OR Advanced degree in relevant discipline, 6 years of experience in a decision support analytic function.
3 years of direct team lead or management experience.
Demonstrates expert skills in mathematical and statistical techniques and approaches used to influence Business Strategy with fact-based decision-making to all levels of leadership up to senior executive levels.
Modernizes knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

Developer/Sr Developer, IT Applications

American Airlines

Fort Worth, TX 76101

Principal

Trinity Basin Preparatory

Dallas, TX 75215

Beaconfire

Dallas, TX 75215

The Intersect Group

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.