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Discover Financial Services, Fair Lending Statistical Testing team is looking for a highly skilled and experienced Statistician, with strong statistics fundaments, traditional modeling methodologies as well as AI/ML modeling techniques to test Discover’s internal strategies and models for Fair Lending Risk and Bias. This role has a tremendous amount of exposure to Discover’s key business areas such as Credit Cards, Student, Personal and Home Loans and provides a great opportunity to build & implement solutions, learn and grow within the organization.
Fair Lending Statistical Testing within the Corporate Risk Management department provides the opportunity to learn and understand various business strategies across and conduct statistical testing & analysis for identifying Fair Lending risk across all DFS’s mortgage and non-mortgage products. This position is responsible for implementing and enhancing the overall Fair Lending (FL) program, manage the life cycle of a Fair Lending test in compliance with applicable fair lending laws and regulations. Furthermore, partner with Enterprise Compliance Program team and First line business teams and provide qualitative & quantitative results and evaluate consumer lending practices from a FL perspective.
Performs and maintains in-house FL statistical analytical programs for identifying fair lending risks using strong programming skills, leveraging statistical techniques such as regression modeling for disparate impact & treatment testing within Discover’s Credit card, Mortgage, Personal lending, Student loan and Home loan businesses. Fair Lending testing includes designing the testing components and flow, data preparation, FL model development, documentation, and refinement
Assist in evaluating internal and external practices, including regulatory and peer institution practices, to ensure DFS is using "best in class" statistical and analytical methods, while adhering to regulatory requirements. Evaluate exiting Fair Lending testing methodologies to ensure validity, efficiency, and accuracy and build new experimental designs/proof of concepts to evaluate new statistical methods that can be applicable in enhancing and solidify the current testing framework
Develop and implement in-house processes for data mining, data assessment, validation, analysis, and correction to determine any limitations on reliability or usability of the data for conducting the analysis & testing
Assist with developing and reviewing fair lending policies, procedures, and training materials for fair lending testing, new-hire training and manage business continuity
Strong communication and presentation skills with the ability to write and present technical papers/documents in a clear, cogent manner to a wide range of audiences (both technical and non-technical)
Minimum-Masters in Statistics, Economics, Information Technology, Mathematics, Engineering
2+ years of experience with Statistics, Economics, Engineering, or other quantitative discipline, or equivalent internship or research experience
Preferred-Ph.D in Statistics, Economics, Information Technology, Mathematics, Engineering
4+ years of experience with Statistics, Economics, Engineering, or other quantitative discipline, or equivalent internship or research experience
In Lieu of Education:
4+ years of experience in Mathematics, Economics, Engineering or any related field with relevant Modeling/Analytical experience, including a Bachelors' degree.
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.