Senior Manager, Data Analysis - Small Business Bank

Capital One • McLean, VA

1d

About The Position

Senior Manager, Data Analysis - Small Business Bank 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 the 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 the world of data-driven decision-making. In the Small Business Bank, we combine a human-centered approach with our data-driven heritage to design, build, and test truly enabling financial experiences for small business owners. It’s an exciting time to join the team as we build and scale a national digital small business bank. We are hiring a data leader that can help us define our data transformation agenda and work to deliver it. To deliver the intelligent real-time experience small business owners expect, we need to reinvent our core data environment through standardization and data products. As a Senior Manager, you will partner cross-functionally with teams to define and refine this data strategy. 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’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential. On a given day you will be: Refining a new data transformation framework with a cross functional team Rolling up your sleeves to maintain and improve our legacy data environment Understanding technical issues, risks and opportunities Independently researching, identifying, and prototyping industry best practices for data standardization 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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• Refining a new data transformation framework with a cross functional team
• Rolling up your sleeves to maintain and improve our legacy data environment
• Understanding technical issues, risks and opportunities
• Independently researching, identifying, and prototyping industry best practices for data standardization
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level