Responsibilities and Skills:
Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers
Communicate technical subject matter clearly and concisely to individuals from various backgrounds
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, machine learning, and automation solutions to improve business performance and process efficiencies
Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data
Successful candidates would 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
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 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
2 years of experience manipulating and analyzing large data sets
2 years of experience with advanced machine learning technologies including language models, LLMs and/or Generative AI technologies
3 years of experience with Python, R or other statistical analyst software
4 years of experience in statistical modeling or regression analytics or machine learning
. 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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