Description
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.
About the Team:
The IFX Data Intelligence & Insights (DI2) team serves as the intelligence engine powering Capital One’s Tech and AI leadership.
We build end-to-end interactive web apps, intelligent automation pipelines, and experimentation frameworks that drive operational health across 4,000+ engineers and leaders.
As owners of the flagship IFX OneDashboard (36 custom products, 100K+ annual views), we combine full-stack data product ownership with executive-level impact.
Come build the platforms, guardrails, and visualizations shaping the future of insights for tech.
Responsibilities:
- Refine a new Enterprise-wide analytical tools validation framework
- Plan and execute validation projects
- Assess the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes
- Understand technical issues in analytical tools and assess tools risks and opportunities
- Independently research, identify, and prototype industry best practices for emerging analytical tools
- Communicate results clearly and concisely both verbally and through written communications via validation reports and presentations
- Leverage education, colleagues and training opportunities to develop solutions to business problems
- Coach and mentor junior staff
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
- 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 predictive analytics
Benefits:
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.