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

As a Senior Data Engineer, you will design, develop, and implement data solutions, utilizing cloud technologies and collaborating with teams to support technical solutions and mentor others.

The role involves leading machine learning initiatives, developing advanced models, and collaborating with teams to enhance productivity and decision-making processes across the firm.

As the first Analytics Engineer at Rain, you will consolidate and model data sources, create reliable datasets, and develop metrics and dashboards for decision-making across the company.

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

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.

As a Data Architect, you will design and implement data architecture, support analytics pipelines, and collaborate on data modeling. Responsibilities include ensuring modularity, testing, and governance while promoting best practices in data management.