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The Director of Product Management at Capital One leads the Product College initiative, focusing on customer-centered design, business-driven product enhancements, and technology solutions. Responsibilities include setting long-term vision and strategy, fostering a culture of continuous improvement, and mentoring product talent in an agile environment.

The Director of Software Engineering will lead and mentor teams of software engineers, focus on customer-centric solutions, improve engineering practices, and manage diverse technology platforms to create scalable applications. This role involves strategic discussions, technology adoption, and fostering innovation within Agile teams.

As a Senior Risk Manager at Capital One, you will lead a team in managing enterprise risk events, utilizing your skills in risk and project management. Your responsibilities include collaborating with internal teams, leveraging data for risk visibility, improving management processes, and ensuring compliance with the company's risk protocols.

The Director of FP&A will lead a team to oversee financial analysis and forecasting for the Auto Finance division. Responsibilities include modeling, variance analysis, and presenting financial results to senior leadership. The role involves cross-functional collaboration and strategic investment insights.

The Compliance Tester II performs compliance testing to ensure regulatory requirements are met across all lines of business. Responsibilities include executing targeted tests, managing schedules, analyzing data, reviewing peer tests for accuracy, and communicating results with Compliance Officers and business lines.

This internship involves engaging in applied research focused on AI, working with a team to develop solutions for large-scale problems, and contributing to the evolution of customer experiences through AI technologies. Interns will participate in research life cycles and engage in high impact projects.

As a Distinguished Machine Learning Engineer at Capital One, you'll lead large-scale ML initiatives, collaborate with cross-functional teams to develop AI/ML use cases, and stay updated with advancements in Generative AI and NLP, while mentoring engineers and driving research to identify new opportunities.