Top Fintech Data Engineering Jobs in New York City, NY

The Senior Analytics Engineer will develop and optimize dbt infrastructure and scalable data models, ensuring consistent business logic and supporting data-driven initiatives across the organization.

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.

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.

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 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.

As a Treasury Infrastructure Software Engineer, you'll design, develop and maintain software solutions for treasury functions, ensuring efficiency, security, and scalability.

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.