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The Senior Manager will enhance methodologies and practices for assessing cybersecurity and technology risk, lead enhancements to the risk taxonomy, develop assessment methodologies, and advocate for new practices. This role includes providing expert guidance, fostering relationships, and influencing enterprise risk frameworks.

As a Principal Data Scientist, you will collaborate with a team to develop machine learning models and gain insights from large datasets. Your responsibilities include leveraging technologies like Python and AWS, translating complex data into business objectives, and leading projects that enhance commercial banking solutions.

As a Product Manager for the Retail Bank at Capital One, you will lead the product development process, focusing on improving customer interaction with financial services, collaborating with a team to innovate solutions, and ensuring a seamless experience across digital platforms.

The director will lead IAM risk management, serve as a subject matter expert, drive project execution, manage risk deliveries, and prepare teams for annual cyber assessments to support a strong risk posture.

As a Data Scientist in the Generative AI Systems team at Capital One, you will train and customize large language models for dialogue and image processing, collaborate with software engineers and product managers, build machine learning models, and contribute to top-tier NLP research. You will leverage technologies like PyTorch and Spark to extract insights from large datasets and enhance customer experiences through AI solutions.

The Director of Product Management for the Enterprise Machine Learning Platform is responsible for leading a team to create and manage a product strategy focused on deploying machine learning models at scale. This role requires a blend of customer empathy, business acumen, and technological insight to promote innovation and operational success.

The Applied Researcher II will collaborate with a multidisciplinary team to develop AI-powered products, conduct applied research, and build AI foundation models. Responsibilities include leveraging various technologies to analyze significant data, guiding projects through development phases, and translating technical insights into business objectives.