Top Data & Analytics Jobs

Lead the BIS Data & Analytics team to build and maintain data-centric stewardship capabilities, research and reporting tools, ETL/ELT pipelines, Snowflake Lake House implementations, and AI-enabled workflows (RAG, embeddings, agentic orchestration). Partner with engagement, voting analysts and broader technology teams, ensure data integrity and quality, and manage a team of engineers to improve analyst efficiency and client reporting.

Lead modernization of private markets data quality and governance by embedding automation, AI, and analytics. Define KPIs and validation frameworks, partner with Product/Engineering/Operations, identify systemic risks, drive transformation initiatives, and grow a high-performing team to ensure trusted, scalable, AI-ready data.

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 Data Architect & Engineering Lead will design, implement, and manage scalable data systems, lead engineering teams, and ensure data quality and compliance while integrating advanced analytics and ML workflows.

Join BlackRock as a Quantitative Associate in Portfolio Risk, focusing on model development, data analysis, and automation in risk management processes, including AI integration.

Work with stakeholders to design, build, and embed analytical solutions using Aladdin and AFE models. Develop Python-based tools, collaborate with researchers and engineers, manage projects, and present actionable insights to drive product and client analytics.

The VP of Alternative Data Strategy drives sourcing, prioritisation, and implementation of alternative datasets, aligning data opportunities with investment strategies and governing data usage across teams.

Senior individual-contributor and hands-on technical leader building scalable data infrastructure and analytics for private markets. Architect and oversee data pipelines/platforms (Snowflake, SQL, Python), define engineering standards, champion data governance, drive AI/ML adoption, and manage data engineering delivery and a team while aligning technical solutions with business priorities.

The Quantitative Modeler will join the Portfolio Risk Modeling team to build and maintain risk models, ensuring model governance and collaborating with stakeholders on performance and analytics.

The Associate will develop quantitative models, integrate AI methodologies, aid in portfolio construction, and conduct risk analysis within multi-asset portfolios.