Top Data & Analytics Jobs in NYC, NY

The Associate Quantitative Modeler will develop and maintain models for securitized products, collaborate across teams, validate model inputs and outputs, and enhance automation in the analytics process.

The Portfolio Architect will enhance investment platforms and tools, partners with portfolio managers, and implement analytics for liquidity management and trading.

The role involves developing quantitative investment strategies using analysis, collaborating on investment ideas, and enhancing research processes with innovative methodologies.

Lead design and delivery of Internal Audit reporting: ensure data reliability, build Power BI dashboards, automate reporting workflows (Power Automate/APIs), and craft executive-level narratives for Internal Audit, senior leadership, and the Audit Committee. Collaborate across audit, technology, and analytics teams to maintain data integrity, drive continuous improvement, and support strategic SAO initiatives.

Design and deliver enterprise-scale data models and analytics-ready datasets in Snowflake; build reliable ELT/ETL pipelines (batch and near-real-time); implement data quality, observability, and performance optimizations; publish curated data to downstream systems; enforce documentation, lineage, schema evolution, and secure handling of sensitive data while collaborating with product, operations, and engineering teams.

The VP, Snowflake Data Architect will design and implement enterprise data warehouse solutions, ensuring compliance and enabling strategic decision-making across various domains at BlackRock.

The Director will lead the BIS Data & Analytics team, responsible for delivering data-centric stewardship capabilities and overseeing the data environment's quality control.

This role involves managing client implementations, delivering technical analyses, and collaborating with product teams to enhance Aladdin Wealth offerings. Strong analytical skills and understanding of finance technology are key.

The Associate will enhance data analytics capabilities across Global Marketing, optimizing marketing performance, and supporting data-driven strategies.

Support the research, design, and development of new ETF products, conduct market analysis, and collaborate with internal teams for product enhancements.