US investment bank JP Morgan has partnered with environmental, social, and corporate governance (ESG) data science specialist RepRisk to incorporate ESG risk metrics within its data platform.
The data will be available via JP Morgan’s DataQuery platform, providing clients across its trading and securities services businesses with access to ESG risk data from over 150,000 companies.
DataQuery is the bank’s flagship data and analytics platform, which plays host to proprietary financial market data from its research and trading businesses.
“In an ever increasingly data-driven world, offering clients the choice of best-of-breed data providers through a seamless experience is crucial,” said Richard Crozier, head of product data and analytics at JP Morgan’s securities services. “We are excited to have RepRisk on the DataQuery platform, allowing us to present a streamlined way for clients to integrate ESG factors into their investment strategies.”
RepRisk provides quantitative risk analytics and proprietary metrics for public and private companies aiding them in their ESG integration and risk management processes. The firm deploys machine learning and artificial intelligence technologies for its data science techniques.
“RepRisk systematically identifies and assesses material ESG risks, providing actionable market insights for industry professionals,” said Alexandra Mihailescu Cichon, executive vice president sales and marketing at RepRisk.
“Offering our data via JP Morgan’s DataQuery will provide users with risk-focused data for risk management, portfolio optimisation, and alpha generation. Additionally, it marks the growing momentum of ESG integration in the industry as a whole.”
JP Morgan has focused on boosting its expertise in machine learning recently. In July, the bank hired a machine learning expert to deploy the technology across its investable indices business. Fredrik Giertz joined JP Morgan in the newly-created role to focus on developing quantitative strategies that use machine learning techniques.