Top Data & Analytics Jobs in NYC, NY

Collaborate with Agile teams to design, develop, and support technical solutions using full-stack development tools and technologies. Stay updated on tech trends, mentor team members, and deliver cloud-based solutions to enhance customer experiences. Perform unit tests and code reviews to ensure performance efficiency.

Principal Quantitative Analyst in Commercial Finance at Capital One focusing on developing and enhancing modeling and analytical framework, collaborating in cross-disciplinary teams to build cloud-based solutions, applying quantitative methods to improve business performance, and providing technical guidance to business leadership.

Lead Machine Learning Engineer at Capital One responsible for designing, building, and delivering ML models and components to solve real-world business problems. Focus on ML architectural design, model development, and application code to ensure high performance and availability. Collaborate in Agile teams to enhance big data and ML applications using cloud-based architectures and continuous integration best practices. Required skills include Python, Scala, Java, and experience in building, scaling, and optimizing ML systems.

Design, Create, Enhance, and Execute data governance processes. Generate documentation of existing processes, project progress, and forecast expected process changes. Proactively manage change control and communicate the impact to stakeholders.

Lead Data Engineer at Capital One responsible for designing, developing, and implementing technical solutions using full-stack development tools and technologies. Collaborate with Agile teams, work on distributed microservices, and drive a major transformation within Capital One.

The Sr. Risk Manager, Data Protection will provide oversight, analysis, and recommendations for enhancing cybersecurity controls. They will assess cyber risks, provide technical assessments, draft reports for senior management, and stay informed on emerging threats. Collaboration with stakeholders and effective program coordination are key responsibilities.

As a Principal Data Scientist at Capital One's Model Risk Office, you will partner with a cross-functional team to deliver products, leverage various technologies to reveal insights from large datasets, build machine learning models, and translate technical work into business goals. The ideal candidate is customer-first, innovative, technically proficient, and statistically-minded.