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Responsibilities and Skills:
Lead a team of quantitative analysts to enhance modeling of Commercial Volumes (balances, originations, prepayments)
Partner with business experts and modelers in Finance, Risk, and Commercial Bank to deliver a coherent and cohesive suite of models to support finance outlook and project components of the Pre-provision Net Revenue
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 and defensible assumptions
Work effectively with challenge functions to ensure prompt and comprehensive support
Effectively communicate technical subject matter to individuals from various backgrounds both verbally and through written materials
Successful candidates would possess:
Strong understanding of quantitative analysis methods in relation to financial institutions
Demonstrated track-record in statistical-learning and econometric analysis
Desire to remain on the leading edge of analytical technology with a passion for finding value in the newest and most innovative tools
Strong coding skills in R or Python and drive to create efficient, accurate, and maintainable code with best practices
Ability to clearly communicate modeling results and recommendations to senior leaders and maintain high standards of documentation
Intellectual curiosity and a drive to produce best estimates that balance confidence and uncertainty
Reverence for processes, controls, governance, and infrastructure
Ability to manage a small team and timely completion of projects that require cross-team collaboration
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 6 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 4 years of experience performing data analytics
A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
Preferred Qualifications:
PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related disciplines
5+ years of experience in statistical modeling, regression and econometric analysis, or machine learning
4+ years of commercial prepayment, balance, PPNR, and/or credit risk modeling experience
2+ years of experience managing a team of analysts
. 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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