It provides data, features, and services that enable a range of quantitative investment workflows, allowing firms to rapidly productionize strategies and get to market faster.

Key Features of BQuant Enterprise - Ready-to-Use Data Sets: Access Bloomberg’s comprehensive range of high-quality, multi-asset-class financial and alternative data sets, along with capabilities for using internal data. - Python-Based Environment: An interactive platform rooted in Python and Jupyter notebooks, empowering advanced users to build their own applications using Python’s open-source scientific computing ecosystem. - Quantitative Workflows: API-first analytics and innovative, domain-specific tools that provide customizable, end-to-end workflows from data exploration to backtesting, optimization, and visualization. - Research Distribution: Effortlessly share analysis results across the organization, with capabilities to automatically refresh data within applications. - Enterprise Administration and Security: Manage environments, code repositories, users, and roles with robust administrative capabilities. - Cloud-Ready: Compatible with public clouds, as well as on-premise, private, and hybrid cloud environments.

Benefits - Efficiency: Streamlines the creation, validation, and production of quantitative models, enhancing workflow efficiency. - Scalability: Offers a flexible and scalable solution that grows with your firm’s needs. - Integration: Easily integrates with existing infrastructures, databases, and workflows, maximizing technology investments. - Support: Backed by Bloomberg’s exemplary customer support, including 24/7 assistance and dedicated implementation managers.

BQuant Enterprise is designed to accelerate the deployment of quantitative investment strategies, providing a powerful, flexible, and secure platform for financial services firms.