Capital One Principal Quantitative Modeler United States, Virginia, Arlington 905168107
In this position, you’ll be part of a team tasked with ushering in the next wave of disruption to predictive modeling - using technology to build & deploy models and solutions leveraging new data sources to provide powerful new insights about our portfolio resilience and opportunities.
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
Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers
Provide technical guidance to business leadership
Communicate technical subject matter clearly and concisely to individuals from various backgrounds
Successful candidates would possess:
Strong understanding of quantitative analysis methods in relation to financial institutions
Demonstrated track-record in machine learning and/or 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
Ability to fully own the model development process from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring
Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, survival analysis, panel data models, design of experiments, decision trees, machine learning methods.)
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 5 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 3 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)
Preferred Qualifications:
PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related disciplines
2 years of experience with data analysis
1 year of experience with Python, R or other statistical analyst software
1 year of experience manipulating and analyzing large data sets
. 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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