Sr. Manager, Data Analysis

About the role

At Capital One, data is at the center of everything we do. As a Senior Manager, you will partner cross-functionally with teams throughout the company to validate business-impacting analytical tools. You will enhance your technical and analytical skills while working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, you’ll tackle challenging projects with an eye on the bottom line and a focus on work/life balance in a dynamic environment that offers room to learn, grow, and realize your full potential.

Responsibilities

• 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, including 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

Requirements

• Currently has, or is in the process of obtaining, a Bachelor’s degree in a 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 the expectation that the 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 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 the 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

Pay

• McLean, VA: $200,700 – $229,100
• Richmond, VA: $182,500 – $208,300
• Other locations: pay range determined by location; actual salary reflected in offer letter
• Eligible for performance-based incentive compensation (cash bonuses and/or long-term incentives)