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As a Senior Associate of Quantitative Analysis within the Model Risk Office, you will be part of the validation team responsible for loss forecasting, allowance, and stress testing (CCAR) models used to determine loss reserves and capital requirements for retail portfolios including Credit Card and Auto lending. Validations cover all aspects of model development and performance and include forward-looking advancements in modeling capabilities and quality. With a network of over 500 quantitative analysts, data scientists and statisticians, we’ve created a dynamic environment with ample opportunities for learning and growth.
Responsibilities and Skills:
Partner with the various lines of business to enhance modeling and analytical framework
Work across Capital One entities to create novel analytical solutions to the challenging business problems
Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies
Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data
Identify opportunities to apply quantitative methods or machine learning to improve business performance.
Successful candidates will possess:
Strong understanding of quantitative analysis methods in relation to financial institutions
Demonstrated track-record in machine learning and econometric analysis
Experience utilizing model estimation tools
Ability to clearly communicate modeling results to a wide range of audiences
Drive to develop and maintain high quality and transparent model documentation
Strong written and verbal communication skills
Strong presentation skills
Basic Qualifications:
Currently has, or is in the process of obtainingone of the followingwith an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 3 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 1 year of experience performing data analytics
Preferred Qualifications:
Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related discipline
At least 2 years of experience with data analysis
At least 1 year of experience with Python, R or other statistical analyst software
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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