Top Remote Financial Services Data & Analytics Jobs in New York City, NY

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

The Associate Applied Data Scientist will prepare, clean, and transform data, participate in model development, and ensure data integrity while collaborating across teams.

The Quantitative Researcher for Monetization will develop strategies for market opportunities, optimize performance using data, and apply machine learning in financial energy systems.

The Business Information Management Specialist will oversee data management activities, ensure accurate metadata and lineage, and support data governance across the organization.

The AVP, AML Analytics will enhance BSA/AML/OFAC compliance by developing analytical tools, validating data feeds, and providing insights for financial crime mitigation.

The role involves managing data pipelines for AI and quantitative research, focusing on L3 market data architecture and integrity, API development, and collaboration with researchers.

Design and optimize end-to-end financial data pipelines and automated validations; build and maintain production-grade SQL repositories; perform forensic analytics to resolve discrepancies; serve as Finxact SME; lead governance, reporting automation, and cross-functional projects; mentor junior analysts and partner with Product and Engineering.

The Credit Risk Manager/Director role focuses on maximizing gross profit and portfolio resilience through data analysis and policy adjustments, aiming for substantial profit gains through innovative strategies in credit risk management.

The Research Analyst will produce investment research and video content, assist in macroeconomic analysis, and contribute to social media efforts.

As a Senior Data Engineer, you will architect and implement cloud-native data solutions, optimize pipelines, and collaborate across teams to improve data reliability and scalability.