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At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalize credit card offers, turning the entire industry on its head. As we've grown bigger, we've found more and more ways to use technology and face-to-face conversations to understand the human problems associated with money and finances. In the Consumer Bank, we've combined this human-centered approach with our heritage of data-driven decision making to design, build and test our way to truly enabling financial experiences. Are you passionate about improving the way people interact with their money? Are you driven by the delight you bring to customers? Do you keep asking, 'why,' until you hit the root? It's common to fall in love with solutions, but have you ever fallen in love with the problem? If you're nodding your head, then we want you!
Job Responsibility
Empowered: Part of a team responsible for defining the central data strategy for Retail Bank
Learning constantly: Work deeply with customers, associates, designers, technologists and data scientists to build cutting edge solutions
Innovating relentlessly: Pushing big change by asking bold questions, starting small, testing, and learning your way to something dramatically better
Sharing openly: Telling stories that change the way people think about building products and solving problems
Connecting creatively: Jumpstarting a self-supporting community by sowing the right seeds, building the right tools, integrating the right off-the-shelf products
Succeeding strategically: Solving the right problem and holding on the wrong one
Requirements
Bachelor's Degree or military experience
At least 2 years of experience working in Product Management
Nice to have
Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
Experience translating business strategy and analysis into consumer facing digital products
What we offer
Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits