Top Data & Analytics Jobs

Research and develop high-frequency trading strategies, manage algorithmic execution, and perform post-trade analysis for global financial markets.

As a Quantitative Researcher, you'll create and improve trading models while collaborating with senior researchers and conducting your own research.

Develop and manage Tableau and Sigma dashboards and reports, mentor analytics teams, ensure compliance, and provide BI support.

The Vice President of Research & Analytics leads the TechLab team, directing complex research projects and translating data into strategic insights while mentoring others and collaborating across teams.

Design, build, and maintain data pipelines and models for hardware manufacturing, device traceability, yield, and supply chain. Integrate MES/ERP/IoT data into a lakehouse, ensure end-to-end data quality, security, and governance, and partner with Hardware, Operations, and Quality teams. Support lakehouse architecture (Iceberg, Databricks, dbt) and reduce single-point-of-failure risk for manufacturing data.

Design, build, and deploy Snowflake-based Data Cloud solutions on Azure. Act as Snowflake SME to architect data lakes/warehouses, develop ETL/ELT pipelines (batch and streaming), implement data quality, performance tuning, DBT models, and support deployments while working closely with clients and project management.

The Sr. Data Engineer will build and manage data pipelines for large datasets, collaborate with teams, and leverage cloud technologies for data processing.

The Business Analyst will gather requirements, analyze trading systems, document processes, and work with teams for high-quality solutions in a financial context.

The role involves advising clients on private market portfolios, developing portfolio models, collaborating with teams, and authoring research papers.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.