Capital One Senior Manager Data Analysis - Card 

United States, Virginia, Arlington 

882111170

Senior Manager, Data Analysis - Card Data

As the leader for our External Data Support team, you will lead a team of analysts who serve as the enterprise-wide subject matter experts for credit bureau data. You will be empowered to set the strategic direction for how we govern, monitor, and leverage this critical data to drive value in our Card underwriting business. This is a role for a leader who is passionate about developing people, building robust data governance frameworks, and partnering with business leaders to proactively drive insights that leads to value creation in Card underwriting. You will own the team's roadmap, foster a culture of analytical excellence, and ensure our data products maintain the highest standards of trust and reliability.

On a given day you will be:

• Refining a new Enterprise-wide analytical tools validation framework

• Planning and executing validation projects

• Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes

• Understanding technical issues in analytical tools and assessing tools risks and opportunities

• Independently researching, identifying, and prototyping industry best practices for emerging analytical tools

• Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations

• Leveraging education, colleagues and training opportunities to develop solutions to business problems

• Coaching and mentoring junior staff

An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 5 years of experience performing professional data analysis work

• At least 5 years of experience leading and developing with open source data technologies

• At least 2 years of experience managing people

Preferred Qualifications:

• Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field

• At least 7 years of experience in statistical or econometrics hands-on work

• At least 5 years of experience manipulating and performing analysis with large data sets

• At least 5 years of experience in financial services industry

• At least 5 years of experience in developing statistical or econometric models

• At least 5 years of experience in validating statistical or econometric models

• At least 2 years of experience with data governance

• At least 2 years of experience with predictive analytics

McLean, VA: $193,000 - $220,300 for Sr. Data Analysis Manager New York, NY: $210,500 - $240,300 for Sr. Data Analysis Manager Richmond, VA: $175,500 - $200,300 for Sr. Data Analysis ManagerThis 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.