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

The Senior Analytics Engineer will design data models, build data pipelines, and support analytics needs across teams, enhancing data infrastructure.

The Senior Analytics Engineer will enhance data models, optimize performance in Snowflake, and bridge data engineering with analytics teams for strategic decision-making.

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

The Sr Data Engineer, AVP will analyze complex problems, develop applications, manage projects, ensure compliance, and coach junior analysts while working with various data technologies.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

Manage a live trading book while utilizing cutting-edge agentic AI solutions. Responsible for risk management, strategy development, and model building within a quantitative trading environment.

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

Conduct quantitative analytics and modeling projects, develop AI-driven tools, and integrate AI into existing workflows within banking and market sectors.