Top Data & Analytics Jobs

The Associate will support the Fund Data Stewardship Team by managing data workflows, enhancing relationships, and ensuring data governance for fund distribution. Responsibilities include data engineering solutions, internal query management, and partnering with stakeholders for effective data change management.

This role involves leading the design, build, and operation of enterprise data platforms using AI/ML, ensuring scalability and compliance while providing technical leadership and collaborating across teams.

The role involves leading the Americas Data Analytics team within Internal Audit, developing analytics solutions, and collaborating with stakeholders to enhance audit effectiveness.

Design, build, and operate enterprise-grade, cloud-native data platforms and pipelines for Preqin's Company Intelligence. Provide technical architecture, end-to-end delivery, data governance, observability, and reliability while leading and mentoring a small team and partnering with product and analytics to deliver measurable business value.

The Associate, Technology Audit engages stakeholders to assess technology controls, conducts audits on various IT components, identifies risks, and contributes to departmental initiatives.

As a Data Operations Engineer, you'll ensure seamless data flow, enhance data pipelines, collaborate to resolve issues, and apply quality engineering practices across the software development lifecycle.

The Data Engineer will design and implement features for a regulatory compliance data platform, collaborating with cross-functional teams while ensuring performance and adherence to coding standards.

The role involves supporting client experiences in cash management by managing requests, developing reports, improving processes, and collaborating with teams.

The Vice President of Data Governance at BlackRock oversees data governance execution, implements policies, and enhances data quality through collaboration with various teams across the firm.

Develop and maintain quantitative models for securitized products, collaborate with various teams, and communicate results clearly while ensuring regulatory compliance.