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

The role involves building data pipelines, developing machine learning models, and improving actuarial and finance functions, collaborating with various teams.

Lead AI solutions engineering, focusing on product design, data engineering, model development, agile project management, and team development to create innovative AI technologies.

The Quantitative Engineer Analyst assists in designing and implementing software components for data and analytics, collaborating with stakeholders and developing models and testing processes.

Lead a team to enhance systematic trading strategies, conduct research, improve algorithmic execution quality, and manage relationships with brokers.

The Solutions Architect will partner with clients to design and implement data solutions, manage project phases, drive product innovation, and provide technical training.

This Machine Learning Engineering Internship allows students to work on real ML projects, mentored by full-time employees, combining learning experiences with practical applications.

Develop and optimize high-performance trading algorithms for Crypto markets, collaborating with traders and quants to enhance trading strategies.

Participate in a 5-day immersive program focusing on trading systems development using C++ and Python, mentored by software developers.

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

The Data Engineer will design, implement, and maintain a scalable data architecture and infrastructure, focusing on data transformation, integration, and storage. They will collaborate with teams to optimize data processes and troubleshoot issues, utilizing technologies like Snowflake and SQL.