Sr. Manager Data Analyst - Retail Bank

Capital One - Richmond, VA

Full-time - Senior

Richmond, VA

101-250 employees

Credit Intermediation and Related Activities

About the position

As a Senior Manager Data Analyst in the Retail Bank at Capital One, you will play a pivotal role in validating business-impacting analytical tools and enhancing the company's data-driven decision-making processes. This position involves collaborating with cross-functional teams, refining analytical frameworks, and mentoring junior staff while working in a dynamic environment that emphasizes work/life balance and professional growth.

Responsibilities

• 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
• 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

Requirements

• Currently has, or is in the process of obtaining a Bachelor's Degree plus at least 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a PhD plus at least 2 years of experience in data analytics
• 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

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

Benefits

• Comprehensive health benefits
• Financial benefits
• Inclusive benefits supporting total well-being