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Lead a team of Machine Learning Engineers in designing, building, and implementing ML applications, focusing on data-intensive solutions and infrastructure decisions, while promoting best practices in AI.

Senior Risk Specialist ensures high data quality and robust data management for customer data. Uses SQL and AI tools to research data issues, implement and monitor data quality controls, manage lineage/metadata/change management, oversee issue resolution lifecycle, collaborate with stakeholders, support audits/regulatory exams, and present findings to leadership.

Manage a team of data scientists to build machine learning models that help customers regain financial stability using large datasets.

As a Lead Data Engineer, you will design and develop solutions, collaborate with teams on data technologies, and support cloud-based data warehousing and big data applications.

Lead the development of AI-powered products by collaborating with cross-functional teams, designing AI components, and optimizing models for performance and scalability.

Lead and execute commercial credit review activities including transactional testing, portfolio analysis, and targeted reviews. Identify gaps, emerging risks, and policy/process issues; communicate findings to executives and regulators; build cross‑functional relationships; support monitoring plans, business assessment reports, and special projects.

Lead model risk management for Card Intelligence: develop and validate machine learning models end-to-end, define model development standards and change management, collaborate with cross-functional teams, and translate technical results into business goals while using cloud and open-source tools at scale.

The role involves building customer valuation models, enhancing marketing efficiency via intelligent targeting, and implementing machine learning solutions for the Retail Bank.

The Sr. Business Director leads strategic initiatives in data product development, marketing, credit risk analysis, and cross-functional collaboration to drive business growth and decision-making at Capital One.

Partner with business lines to identify, assess, and mitigate enterprise and operational risks. Provide risk consulting, develop stakeholder relationships, document reporting requirements, align processes to Capital One frameworks, draft policies and procedures, build tools and presentations, and collaborate with Risk, Compliance, IT, Internal Audit, and Regulator Relations to implement risk controls.