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At Capital One, data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational databases—cutting-edge technology in 1988! Fast-forward to today, and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. Today, we are a high-tech company, a scientific laboratory, and a nationally recognized brand, impacting over 65 million customer accounts. Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt, and deliver a better way for our customers, the financial industry, and each other. Team Description: Customer Navigator. Welcome to Customer Navigator. We are the central nervous system for enterprise-wide customer resolution, serving as the one-stop engine to resolve complaints across all Capital One Lines of Business (LOBs). We are not just improving processes; we are completely re-engineering how we understand and resolve customer friction. Our platform aggregates massive amounts of fragmented enterprise data, mapping it into a seamless, chronological 'journey format' for our agents. By layering advanced Artificial Intelligence and Machine Learning over this data within an easily understandable User Interface (UI), we empower our teams to resolve complex customer issues with unprecedented speed, empathy, and accuracy.
Job Responsibility:
Strategic Leadership: Develop and own the business strategy that will drive growth, profitability, and competitive success for Capital One
Execution & Product Delivery: Manage the sequence and delivery of business intent
Enterprise Partnership: Work closely with colleagues across Capital One including: Tech, Lines of Business, and others to drive improvement in quality, volume, service, and profitability
Strategic & analytic orientation: A proven track record of decision making and problem solving based on analytics
Strong business judgment, leadership and integrity
Strong executive communication skills
Clear results orientation
Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment.
Requirements:
Bachelor's Degree in a quantitative field (Statistics, Math, Engineering, Economics, Econometrics, Finance, or Operations Research)
At least 5 years of professional work experience in analytics, business analysis, or data-driven product management.
Nice to have:
3+ years of experience with Python, R, SQL, and relational databases
Experience in the financial services industry, specifically dealing with cross-LOB operations or customer experience
Proficiency in key econometric and statistical techniques, with hands-on experience in model design, development, and deployment
Proven experience translating high-level business strategy and advanced analytics into tangible products and actionable outcomes
Excellent written and verbal communication skills.