Sr. Manager, Data Analyst - Risk Mgmt Product

Sr. Manager, Data Analyst - Risk Mgmt Product

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 a relational database, cutting‑edge technology in 1988. Fast‑forward a few years, and this little 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 working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, you will tackle challenging projects that focus on the bottom line and work/life balance, creating a dynamic environment with plenty of room to learn, grow, and realize your full potential.

• 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 handle multiple concurrent projects while working independently and in teams.

• 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 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

• 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 econometric 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

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

The minimum and maximum full‑time annual salaries for this role are listed below by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part‑time roles will be prorated based on the agreed number of hours to be regularly worked.

McLean, VA: $200,700 – $229,100

Richmond, VA: $182,500 – $208,300

Chicago, IL: $182,500 – $208,300

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized…