Responsibilities and Skills:
Partner with cross-functional teams from Legal and Human Resources to assess Capital One's compensation system
Utilize Python, SQL, and Quicksight to build modular, scalable, statistical models and reporting infrastructure and dashboards that will provide key insights about pay equity & fairness
Provide insights that drive decisions and help shape policy impacting 50,000+ associates
Flex your interpersonal skills to translate the complexity of statistical model results into tangible insights and actionable recommendations
Apply root cause analysis, such as causal inference, to answer why an observed phenomenon happens and suggest actions that could effectively address concerns.
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
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:
Master’s Degree or PhD in Statistics, Economics, Mathematics, Operations Research, Engineering, Physics or related discipline
At least 3 years of experience in statistical techniques such as regression, root cause analysis, causal inference, classification and clustering
At least 3 years of experience with developing and implementing models using modern scripting languages (Python, R or other statistical languages)
At least 3 years of experience working with large-scale, cloud-based coding environments and databases (Python, SQL or other data manipulation languages)
At least 1 year of experience in consulting
. 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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