Senior Manager, Data Analysis

Capital One; Richmond (VA); On-site; USD 182,500 - 208,300; Full time

Benefits offered by this job

Comprehensive health benefits

Incentive compensation including bonuses

Support for work-life balance

Job summary

A leading financial services firm is seeking a Senior Manager, Data Analysis in Richmond, VA. This role involves enhancing analytical tools and influencing business strategies. Candidates should have significant experience in data analytics, including statistical modeling and leadership. A Bachelor's or Master's degree in quantitative fields is required. The position offers competitive compensation and performance-based incentives, emphasizing work-life balance and professional growth.

Qualifications

• 7+ years of experience performing data analytics or a Master's Degree with at least 5 years of experience.
• Experience leading and developing with open-source data technologies.
• Experience managing people for at least 2 years.

Responsibilities

• Refine enterprise-wide analytical tools validation framework.
• Plan and execute validation projects for business tools.
• Understand and assess tool risks and opportunities.

Skills

Data analytics

Statistical modeling

Management

Open-source data technologies

Predictive analytics

Education

Bachelor’s Degree in a quantitative field

Master’s Degree or PhD in a relevant field

Job description

Senior Manager, Data Analysis

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational databases, cutting‑edge technology in 1988. Fast‑forward a few years, and this innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in data‑driven decision‑making.

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 also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we have created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.

Typical Day

• 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 tool 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

Basic Qualifications

• 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 an 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 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

Salary and Compensation

McLean, VA: $200,700 – $229,100 for Senior Data Analysis Manager

Richmond, VA: $182,500 – $208,300 for Senior Data Analysis Manager

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered at the time of hire will be reflected solely in the candidate’s offer letter.

This 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.

Benefits

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

Application and Legal Information

This role is expected to accept applications for a minimum of 5 business days. No agencies please.

Capital One is an equal opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.

For technical support or questions about Capital One’s recruiting process, please send an email to [e-mail].

Capital One does not provide, endorse, nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Positions posted in Canada are for Capital One Canada, positions posted in the United Kingdom are for Capital One Europe and positions posted in the Philippines are for Capital One Philippines Service Corp. (COPSSC).