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Bloomberg has introduced BQuant Assistant for its BQuant Desktop and BQuant Enterprise products, adding a conversational AI coding assistant to its analytics platform for finance professionals.
Built into the Python-based BQuant environment, BQuant Assistant is aimed at Bloomberg Terminal subscribers who use the platform to develop investment strategies, dashboards and quantitative analysis. Users can enter natural-language prompts to generate Python code and Bloomberg Query Language queries, ask questions about workflows and documentation, and get help with debugging.
The assistant draws on BQuant documentation, help resources and example notebooks in its responses. It can also suggest code and, with user approval, insert and run code in an active notebook inside the BQuant sandbox.
The launch expands Bloomberg's use of AI tools across its financial data and analytics products. Here, it is addressing a routine problem for market participants and analysts who need to turn investment ideas into repeatable, code-based analysis without deep programming expertise.
According to Bloomberg, the system can work across more than 22,000 data fields and support queries covering equities, funds, fixed income, foreign exchange, commodities, indices, derivatives and other asset classes. It can also create code for screens, universes and data visualisations using open-source libraries including Plotly and Jupyter Widgets.
Users can ask the assistant to explain existing code as well as generate new scripts. Bloomberg says this is intended to help customers build Python knowledge while working on their projects.
Workflow focus
The product has been integrated into both versions of BQuant, which Bloomberg positions differently for individual terminal users and larger teams. BQuant Desktop is included with a Bloomberg Anywhere subscription and gives terminal users access to Bloomberg data and analytics within a secure sandbox. BQuant Enterprise is a cloud-based version designed for larger-scale computing, collaborative development and integration with internal data sources and code repositories.
The assistant is designed to operate within that existing development environment rather than as a separate interface. This lets users move from a question to a draft query, script or chart without leaving the notebook they are working in.
Bloomberg says the system identifies any action it proposes and asks for approval before reading from or writing to a notebook. That step is intended to keep users in control when the tool inserts, runs or modifies code.
Shawn Edwards, Chief Technology Officer at Bloomberg, said the product is meant to shorten the process of moving from an investment idea to working analysis.
"Financial professionals are working with increasingly large and complex datasets, but turning an investment idea into a repeatable analysis can still require significant time and specialized coding knowledge," said Shawn Edwards, Chief Technology Officer at Bloomberg. "BQuant Assistant brings AI-driven coding that is informed by Bloomberg's understanding of financial data and quantitative workflows directly into the workflows our clients already use to build investment strategies. By helping every BQuant user - from a portfolio manager sketching out a first query to a quant engineering a multi-asset signal - easily move from a natural-language question to working code, data retrieval, and visualization, we are making it easier for clients to test ideas, refine analyses, and build investment strategies within BQuant."
Broader push
The introduction follows other AI-related product launches from Bloomberg, including ASKB, the Bloomberg Terminal's conversational AI interface, and Enterprise Model Context Protocol for Data Licence Plus. Together, the moves show Bloomberg embedding AI tools across both user-facing workflows and data access products.
For BQuant, the addition of a coding assistant reflects a broader shift in financial software towards natural-language interfaces layered on top of specialist data systems. While general-purpose coding assistants are widely available, Bloomberg is seeking to differentiate its offering by grounding responses in its own financial data structure, product documentation and quantitative workflows.
Bloomberg says BQuant Assistant will be generally available in BQuant Enterprise and offered in limited beta in BQuant Desktop at the end of October 2026.