Senior Manager, Data Analysis

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 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: 

• Driving the strategy and implementation of AI-readiness initiatives for the Discover Personal Loans (DPL) business, ensuring data is centralized, well-documented, and optimized for advanced analytical modeling

• Leading the modernization of monitoring and governance processes by automating manual controls and establishing scalable data abstraction layers for seamless integration

• Championing data quality and standardization efforts to enhance the usability of core DPL data, empowering cross-functional teams to drive business decisions

• Partnering with modelers and analysts to build robust analytical tools and integrate new data capabilities, accelerating time-to-market and fostering self-sufficiency

• 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

• 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

Preferred Qualifications: 

• 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 predic