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

Assist in developing NLP solutions to enhance investment processes, analyze financial data, and collaborate on scalable technology solutions.

Lead Aladdin client projects in data integration and conversion, collaborating with clients and stakeholders to deliver solutions on-time and on-budget.

Lead the Emerging Fraud team as a Senior Data Scientist, developing machine learning models to identify and neutralize fraud threats, leveraging a wide range of technologies.

The Head of Data will advance Addition Wealth's data strategy, managing a small team while being hands-on in analytics and data engineering to achieve measurable business outcomes.

As an Applied Research Engineer, you will drive the development of NLP systems, analyze data, collaborate with teams, and ensure efficient model integration.

The Quantitative Developer will build scalable systems for risk analytics, collaborate with trading and research teams, and handle financial data challenges.

As a Solutions Architect, you'll drive the strategy and implementation of cloud-based Data Fabric and Data Mesh, enabling decentralized data ownership and collaboration across teams.

The candidate designs, develops, and manages systematic market-making algorithms for electronic trading, conducting quantitative research and back-testing strategies to optimize performance and manage trading risks.

The Senior Associate - Financial Modeling Technician role involves configuring and executing Prophet jobs, maintaining model input data, and collaborating with actuarial and IT teams to enhance financial modeling operations.

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.