Storebrand Asset Management, a specialist in sustainable investments, has adopted Bloomberg’s cloud-based data science research platform, BQuant Enterprise, enabling multiple desks across the business, including fixed income, ESG and equities to create, test and further integrate actionable data/models into their front-office workflows.
Storebrand Asset Management has deployed BQuant Enterprise to get to market quickly with unique models for credit factor construction, equity strategy research, and portfolio construction, delivering the breadth of Bloomberg data, services, and toolboxes at their users’ fingertips.
Additionally, BQuant Enterprise is deployed for several ESG-focused functions. The BQuant Platform allows Storebrand Asset Management to further integrate its own ESG analysis and research with quantitative metrics more efficiently, accelerating the company’s ability to make objective ESG considerations. Storebrand Asset Management has also deployed its ESG models as BQuant applications to its Bloomberg Terminal users, allowing the company to use its own ESG data alongside Bloomberg’s and other sources, enabling efficient data processing, quantitative backtesting and ESG modelling.
BQuant Enterprise is a cloud-based analytics research platform for quantitative analysts and data scientists in the financial markets. This customisable, turnkey solution accelerates financial services firms’ ability to compete more aggressively, by incorporating quantitative approaches to all aspects of their investment processes. In addition, BQuant is the first data science solution from Bloomberg that is designed specifically for financial markets and offers operation-ready access to Bloomberg’s comprehensive range of high-quality, market- leading, multi-asset-class financial data sets.
