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Manager, Quantitative Analysis – Credit Risk

eSmartloan

This is a Full-time position in Mc Lean, VA posted May 3, 2021.

McLean 1 (19050), United States of America, McLean, VirginiaManager, Quantitative Analysis
– Credit RiskManager, Quantitative Analysis Credit Risk position with Capital One Services, LLC in Northern VA; Multiple positions available:
– Manage quantitative analysis projects involving application of mathematical and statistical methods to collect, organize, interpret, and summarize econometric data for quantitative modeling projects in support of valuation of risk, capital, and other statistical factors affecting business performance.
– Lead the development of quantitative models based on statistical and mathematical principles and perform statistical or econometric modeling and qualitative and quantitative data analysis and reporting applying quantitative, mathematical, and statistical concepts and data processing techniques including survival analysis, linear and logistic regression, time series, panel data, decision tree analysis, and multivariate distribution theory and utilizing software tools including R, Python, and SQL.
– Manage large datasets to collect, organize, analyze, interpret, and summarize large econometric data sets.
– Prepare detailed reports and presentations to senior management regarding the results of statistical analyses, including information in the form of graphs, charts, and tables understandable by non-specialists.
– Eligible for employee referral program.
– At this time, Capital One will not sponsor a new applicant for employment authorization for this position.The position requires a Master’s degree or foreign equivalent in Statistics, Economics, Operations Research, Mathematics, Science or a related quantitative field and 2 years of experience in job offered or quantitative or econometric data analysis.

In lieu of a Master’s degree or foreign equivalent in stated field and 2 years of experience in job offered or quantitative or econometric data analysis will accept a Bachelor’s degree or foreign equivalent in stated field and 5 years of progressive, post-baccalaureate experience as stated.

Position also requires the following skills acquired through education or experience: statistical or econometric modeling; linear and logistic regression; programming in R or Python; presentation of complex statistical concepts and research results to non-statistical audience; and at least 3 of the following skills acquired through education or experience: survival analysis modeling; time-series analysis; SQL; panel data analysis; cross-sectional data analysis; management and manipulation of large datasets (>100K records).

Must pass company’s assessment.No agencies please.

Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace.

All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.

Capital One promotes a drug-free workplace.

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.

All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One’s recruiting process, please send an email to Careers@capitalone.comCapital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities.

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp.

(COPSSC).

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