How T. Rowe Price boosted research productivity with BQuant Enterprise

T. Rowe Price

T. Rowe Price is a global asset management firm that provides advisory services to individuals and institutions in 17 markets and reported $1.78 trillion in assets under management as of December 31, 2025, about two-thirds of which are retirement related. The firm is known for over 85 years of investment excellence, retirement leadership, and independent proprietary research, using its expertise to ask questions that can drive better investment decisions.

FEATURED PRODUCTS

INDUSTRY

Asset management 

LOCATION

Baltimore, Maryland 

GOAL

Enable the quantitative research team to deliver insights faster by spending less time cleaning data and more on analysis and models.

Offering extensible compute, secure integration with your firm’s data, and the ability for users to share insights with one another, BQuant Enterprise enables users across your firm – from quants and data scientists to portfolio managers and analysts – to seamlessly collaborate and create more impactful investment strategies.

According to T. Rowe Price, access to BQuant Enterprise has helped to substantially boost the productivity of its quantitative researchers. 

BQuant’s intra-firm application publishing feature accelerates time-to-market, enabling quantitative researchers to deliver financial models they’ve developed directly to their portfolio managers. 

After completing our analysis, it was clear that the most efficient route was to identify an external supplier. It didn’t make sense to build something we could access with BQuant Enterprise at a fraction of the cost and the time.

Tae Kim
Head of Fixed Income Quantitative Data & Analytics, T. Rowe Price

Situation

T. Rowe Price’s fixed income quantitative research desk was spending an inordinate amount of time cleaning data rather than generating insights. It needed a solution to help reduce financial model delivery times and improve research productivity.

When portfolio managers requested trading models, its quants struggled to deliver fast enough.

Quant teams were often perceived as data support, rather than strategic contributors to the investment process.

Problem

Following a productivity review, Tae Kim, Head of the Fixed Income Quantitative Data & Analytics at T. Rowe Price in London, found that the majority of his quants’ time was dominated by data cleaning and curation, which prevented them from focusing on workflows like analysis and model generation. 

T. Rowe Price determined the true cost of an in-house solution would be significant in terms of financial investment and hiring. More significantly, the solution could take years to build.

Kim and his team started to explore providers who could offer more cost-effective options, such as Bloomberg.

Solution

Kim opted to solve the challenge using Bloomberg’s BQuant analytics platform. With BQuant, T. Rowe Price could confidently build its fixed income research  solutions around auditability and transparency, offering white-box, explainable models that are underpinned by industry-trusted data.

BQuant provides a secure sandbox environment in the cloud, where Bloomberg data, analytics and other open-source machine learning and data science libraries are available for customers to develop advanced analytics.

This faster, streamlined process has boosted the productivity of Kim’s team and is helping quants better manage requests from the firm’s portfolio managers.

As researchers generate more trading ideas, the fixed income quantitative research desk is enabling better decision making and driving a more direct impact on the firm’s business.

T. Rowe Price is pioneering the use of AI in its fixed income quant research workflows, becoming one of the first customers around the world to subscribe to the BQuant Textual Analytics add-on package and integrate it into its existing BQuant workflows.

I’ve seen a huge uptick in everyone’s productivity and sense of satisfaction. Typically, each of our quants generate three models per year; they can now generate six or more.

Tae Kim
Head of Fixed Income Quantitative Data & Analytics, T. Rowe Price

faster model delivery

increase in model output per quant

T. Rowe Price’s equity and fixed income quant teams can collaborate across asset classes, sharing signals, models, and research.

The team aims to expand its BQuant usage to securitized fixed income sectors, launch new quantitative strategies, and further incorporate AI for fixed income.

The implementation of BQuant has accelerated time-to-market, created more collaborative, transparent and AI-driven workflows – and dramatically boosted productivity.

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