Goldman Sachs has teamed up with MSCI to offer enhanced portfolio analytics and more efficient workflows to its institutional clients.

MSCI provides critical decision support tools and services for the global investment community.

The partnership will leverage the expertise of both companies in data and risk management to provide ‘higher quality analytics’ across their institutional client platforms.

Goldman Sachs Marquee, the firm’s digital platform for institutional investors, has enabled accessibility to MSCI’s risk factor models.

Similarly, MSCI clients can now access Goldman Sachs’ volatility data through MSCI RiskManager, for improved precision in risk management.

Goldman Sachs head of Marquee distribution Anne Darling said the partnership is a testament to how the firm is leveraging technology and embracing open architecture to offer superior solutions to our clients in data and risk.

MSCI’s risk factor models are available through Goldman Sachs APIs and GS Quant.

GS Quant is an opensource Python toolkit designed to rapidly integrate data. It offers a programmatic environment to interact with Goldman Sachs’ data analytics tools and MSCI’s risk factor models.

The models will also be accessible through Marquee’s Portfolio Analytics user interface.

Goldman Sachs’ volatility data, which is based on proprietary pricing models, is available in MSCI’s risk management platform.

This data can be combined with MSCI’s risk factor models to support a variety of risk measurement and reporting use cases.

Commenting on the development, MSCI head of analytics Jorge Mina said: “Through this collaboration we are enabling clients to simplify workflows across portfolio design, construction, and risk management. This will empower them to translate data into actionable insights.”

Last July, MSCI joined forces with technology giant Microsoft to gain access to the latter’s cloud and artificial intelligence technologies with an aim to innovate the investment management space.