Capital One Manager, Quantitative Analysis in Richmond, Virginia
West Creek 2 (12072), United States of America, Richmond, Virginia
Manager, Quantitative Analysis
Capital One, a Fortune 500 company and one of the nation’s top 10 banks, is one of the largest, most analytically sophisticated Financial Services providers in the world. We offer a broad spectrum of financial products and services to consumers, small businesses and commercial clients. We nurture a work environment where people with a variety of thoughts, ideas and backgrounds, guided by our shared Values, come together to make Capital One a great company and a great place to work.
Corporate Compliance is seeking a Manager, Quantitative Analysis to manage fair lending risk throughout Capital One. The Fair Lending Compliance Team conducts data analysis to assess the fair lending risk of lending decisions and provides guidance, advice and approvals for Business Area activities based on this analysis. This role involves performing statistical data analyses and modeling on judgmental areas and working with business on the review of credit models and policies.
Apply mathematical and statistical methods to collect, organize, interpret and analyze business data to determine fair lending risk on judgmental decisions.
Perform statistical modeling and analysis of data in various business areas, utilizing linear and logistic regression to perform qualitative and quantitative data analysis and reporting.
Assess data quality, prepare data for analysis, build statistical models to identify relationships and trends in historic data, and analyze and interpret statistical data to identify fair lending risk
Prepare memos of data analyses and present complex statistical concepts and analysis results to regulators and senior management.
Provide guidance and approval on the fair lending and related risks presented by policies and models that determine credit risk, segment populations, provide valuations or other business related insights.
Ensure accuracy of modeling and analysis results by providing effective challenge and independent review
Support Audit and Exam related efforts
At least 2 years' experience in SAS programming
At least 2 years’ experience in Statistical analysis and modeling
Master's degree or PhD in Statistics, Economics or Mathematics, Physics, Financial Engineering, Operational Research or Engineering
3+ years’ experience in Statistical modeling techniques
3+ years’ experience in SAS Programming
2+ years’ experience using advanced Excel
2+ years’ experience using advanced Power Point
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.