Job Description

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.

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’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 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 be handling multiple concurrent projects while working independently and in teams. 

Basic Qualifications: 

Bachelor’s Degree

At least 5 years of experience with professional data analysis work experience  

At least 2 years leading and developing with open source data technologies 

At least 2 years of experience in people management

Preferred Qualifications: 

Master’s Degree or Doctorate 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 

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