Sr. Manager- Data Analytics

About the role

At Capital One, data is at the center of everything we do. From pioneering statistical modeling for personalized credit card offers in 1988 to becoming a Fortune 200 leader in data‑driven decision‑making, the company continues to innovate. As a Senior Manager you will partner cross‑functionally to validate business‑impacting analytical tools, enhance technical and analytical skills, and influence business strategies. You will work with a network of Data Analysts, Quants, and Data Scientists on challenging projects while maintaining a focus on work‑life balance.

Responsibilities

• Refine a new enterprise‑wide analytical tools validation framework.
• Plan and execute validation projects.
• Assess the quality and risk of analytical tool methodologies across Capital One and understand how tools are used within processes.
• Understand technical issues in analytical tools and evaluate associated risks and opportunities.
• Research, identify, and prototype industry best practices for emerging analytical tools.
• Communicate results clearly both verbally and in written validation reports and presentations.
• Leverage education, colleagues, and training opportunities to develop solutions to business problems.
• Coach and mentor junior staff.

Basic qualifications

• Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) + at least 7 years of data‑analytics experience, or a Master’s degree + at least 5 years of data‑analytics experience (degree to be obtained before start date).
• At least 5 years of professional data analysis work.
• At least 5 years of experience leading and developing with open‑source data technologies.
• At least 2 years of people‑management experience.

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 hands‑on statistical or econometrics work.
• At least 5 years of experience manipulating and analyzing large data sets.
• At least 5 years of experience in the financial services industry.
• At least 5 years of experience developing statistical or econometric models.
• At least 5 years of experience validating statistical or econometric models.
• At least 2 years of experience with data governance.
• At least 2 years of experience with predictive analytics.

Capital One will consider sponsoring a qualified applicant for employment authorization for this position.

Pay

McLean, VA: $200,700 – $229,100; Richmond, VA: $182,500 – $208,300; New York, NY: $219,000 – $249,900. Candidates hired in other locations will receive the salary range applicable to that location. The role is also eligible for performance‑based incentive compensation, which may include cash bonuses and/or long‑term incentives.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support total well‑being. Eligibility varies based on full‑ or part‑time status, exempt or non‑exempt status, and management level.