Top Senior Level Analytics Jobs in NYC, NY

As a Data Analytics Engineer, you will design and implement features for Electronic Trading businesses, build data pipelines for analytics and reporting, and mentor teammates. Your role involves using the tech stack to enable data-driven decision-making and handling compliance aspects in trading systems.

Lead a team of analysts in identifying trends and insights to drive improvements in customer interactions and retention. Establish a culture of data-driven decision making, manage stakeholder relationships, and collaborate with cross-functional teams to meet strategic business objectives.

As a Principal Data Scientist, you'll be part of a cross-functional team developing AI/ML solutions for personalized customer experiences. Responsibilities include building machine learning models, analyzing data, and collaborating with engineers and product managers to deliver insights that enhance financial decision-making for customers.

As a Manager of Data Science, you will lead a cross-functional team to create AI/ML solutions for personalized customer experiences using large datasets. Responsibilities include model development, leveraging various technologies, and translating complex data insights into business goals.

The Manager of Ontology and Data Modeling will develop, implement, and maintain enterprise ontologies for Capital One's Data Strategy, collaborating across various teams to support semantic technology integration and data modeling efforts. Responsibilities include guiding the deployment of ontology-based products, defining problem statements, managing project roadmaps, and mentoring junior associates.