Top Financial Services Data Engineering Jobs in New York City, NY

The role involves leading Risk Data Science, developing credit decisioning models, and ensuring compliance with model risk management in a regulated environment, focusing on next-gen machine learning techniques and alternative data integration.

The role involves developing predictive algorithms and tools for Structured Finance, coordinating projects, mentoring junior analysts, and creating user interfaces for data communication.

The Senior Analytics Engineer will drive analytics projects, improve customer experiences, and develop self-service tools while collaborating with stakeholders to meet business needs.

As a Senior Staff Analytics Engineer, you'll develop data models, collect requirements, and set standards for data quality, working with various teams to enhance decision-making.

Lead the data strategy, architecture, and design initiatives across payments services, reconciliations, and reporting by simplifying data pipelines and enhancing analytics.

The Data Engineer will design data pipelines, optimize data warehouses, ensure data quality, and apply ITIL best practices for operational efficiency.

The Analytics Engineer will develop and maintain data products to drive cross-functional decision-making and improve Novo's data culture.

As a Data & Automation Engineer, you'll build data platforms, design data models, manage datasets, and optimize data pipelines for analytics and decision-making.

As a Quantitative Developer Intern, you will enhance research platforms, optimize data pipelines, and improve trading tools while gaining training and exposure to innovative quantitative methods.

The position focuses on technology and artificial intelligence at a multi-strategy investment firm, emphasizing innovation and collaboration.