Maj Invest, one of Denmark’s largest independent investment houses, has selected Bloomberg’s public cloud-based analytics platform, BQuant Enterprise, to accelerate and deepen the firm’s investment research process, improve productivity, and generate insights that support Maj Invest in continuing to serve clients to the highest standard.

The deployment marks a significant modernisation in how Maj Invest develops and scales its analytical capabilities; moving from individual tools to a shared analytics platform in which any team can build, test and deploy models or internal solutions that address their specific investment and operational challenges.

BQuant Enterprise’s flexible Python environment gives analysts and researchers broad programmatic access to Bloomberg’s comprehensive range of high quality financial and alternative datasets, combined with advanced compute capabilities and open source data science libraries in its secure, Bloomberg-managed sandbox environment. This enables the firm to rapidly build, test and refine investment models, and to share outputs with permissioned colleagues across the firm as interactive BQuant Published Applications. This reduces the time and technical overhead typically required to bring new analytical capabilities to market within an investment firm.

Because investment strategies are built and tested in a secure sandbox environment with access to consistent, high-quality data, the firm can iterate quickly, share BQuant Published Apps across teams via Bloomberg Launchpad, and preserve version control and governance without creating fragmented or siloed infrastructure.

Since deploying BQuant Enterprise, Maj Invest’s teams have built a range of solutions across its investment process, from screening and scoring models to research dashboards, including a proprietary model that treats financial ratios as tokens within a purely financial context in order to forecast the most likely stock outcomes.

“Bloomberg’s BQuant Enterprise has become the tool for how we build and scale analytical capabilities across the whole firm,” said Kurt Kara, Head of Equities at Maj Invest. “Analysts and research teams no longer need to rely on static models or fragmented systems. Instead, they benefit from building and testing models and related solutions within one analytics platform and can rapidly deploy these solutions across the team. The quality of service from Bloomberg has also been a key part of this success, with responsive, knowledgeable support helping our teams get the most out of BQuant Enterprise.”

“Investment firms increasingly need to turn high-quality data into differentiated insights and workflows at speed,” said Javier Mitra Valdes, Head of Product for the BQuant Platform at Bloomberg. “With BQuant Enterprise, Maj Invest can bring Bloomberg’s data, analytics and quantitative capabilities together in one secure environment, giving its teams the flexibility to experiment, build and scale proprietary models and related solutions across its investment process. This supports Maj Invest as it continues to strengthen its research capabilities and drive innovation across their firm.”