Capital One Senior Director Financial Management- Tech Finance 

United States, Virginia, Arlington 

818673527

Principal Quantitative Analyst, Pay Equity - People Strategy & Analytics

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

McLean, VA: $158,600 - $181,000 for Prin Assoc, Quant Analysis Richmond, VA: $144,200 - $164,600 for Prin Assoc, Quant AnalysisThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.