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The Sr Business Analyst will analyze macroeconomic trends, optimize AML investigations, and develop KPIs to support Capital One's AML program effectiveness against criminal activities.

This role involves leading the development of AI-powered products, optimizing large scale AI systems, and mentoring cross-functional teams. It focuses on designing and deploying AI components, contributing to the technical vision, and applying cutting-edge AI techniques.

As a Senior Lead Data Engineer at Capital One, you'll lead a development team, utilizing various big data and cloud technologies to deliver impactful solutions. Responsibilities include collaborating with Agile teams, mentoring, and ensuring optimal code performance.

Lead technical strategy and architectural evolution in marketing technology, mentoring teams and driving innovative solutions across data engineering and platforms.

Responsible for validating market risk models and ensuring their accuracy. Engage with various stakeholders, communicate findings, and maintain model integrity while leveraging innovative analytical technologies.

Lead diverse technology projects, mentor developers, and collaborate on cloud-based solutions while utilizing various programming languages and cloud services.

The Lead Machine Learning Engineer will design, build, and productionize ML applications, oversee model performance, collaborate with teams, and ensure reliable deployment of ML systems at scale.

Lead data science efforts to integrate Discover and Capital One card models: build, validate, and implement machine learning models using big-data tools, partner with engineers and product managers, and deliver customer-focused model solutions.

Lead and manage project plans for DaaS acquisitions, document requirements and processes, perform QA, drive continuous process improvements, coordinate stakeholder communications and training, track and support mitigation plans, and oversee day-to-day operations to bring new products to market.

As a Lead Data Engineer, you'll lead the design and implementation of scalable data platforms, build distributed streaming data pipelines, and collaborate on technical solutions using big data technologies and agile methodologies.