Citi, S&P Global Market Intelligence and Oliver Wyman announced that Citi has selected the S&P Global/Oliver Wyman’s Climate Credit Analytics (‘CCA’) Transition Risk model to support a variety of requirements for the bank in 2022.

Following an extensive trial and collaboration in 2021, Citi selected CCA after an in-depth assessment, and believes that CCA supports key requirements for the firm’s Risk teams and Institutional Clients Group business lines such as Corporate Banking, Research and Markets. A key focus of the agreement will be to support regulatory stress testing of Citi’s corporate lending business which is being driven by regulators including the European Central Bank (ECB) and the Monetary Authority of Singapore (MAS).

“Climate change is one of the greatest challenges of our time and playing Citi’s part in tackling it will require tremendous collaboration. Robust climate data and analytics is critical to our Climate Risk team’s mission of measuring and managing Citi’s climate risk, and to meeting the growing climate risk management expectations of global banking regulators. The suite of technology driven insights and climate data produced by Citi’s collaboration with Oliver Wyman and S&P will provide invaluable tools to better understand and model transition paths of Citi’s corporate clients,” said Kunal Motiani, Global Lead of the Climate Risk program at Citi.

“As part of Citi’s effort to build out a firmwide climate data utility function, our work with the teams at S&P Global Market Intelligence and Oliver Wyman aligns to our needs to build a robust infrastructure to support our Risk and Institutional needs. Quality climate data is one of our core requirements and S&P Global and Oliver Wyman demonstrated they can help us be on the forefront of understanding and incorporating accurate corporate disclosures,” said Richard Webley, Head of Citi Global Data Insights.

Launched in 2021, Climate Credit Analytics is a suite of models that helps financial institutions and corporates assess how a transition to a low-carbon economy will impact the creditworthiness of their counterparties and investments. Developed through a collaboration between S&P Global Market Intelligence and Oliver Wyman, CCA includes coverage of more than 1.6 million public and private companies across all non-financial sectors of the global economy, as well as the ability for clients to input proprietary information to expand upon that coverage. Carbon intensive sector specific models, such as airlines, automotive manufacturing, metals & mining, oil & gas and power generation allow for granular analysis that provides unique insights grounded in company-specific attributes.

“Citi is an inspiring leader in their commitment to addressing climate change, as demonstrated in their latest TCFD Report and initial net zero plan, and we look forward to working alongside them and Oliver Wyman to help Citi address climate-related risk implications and achieve their net zero goals,” said Whit McGraw, Global Head of Credit & Risk Solutions at S&P Global Market Intelligence.

“We’re thrilled to deepen our work together with Citi on this important topic; climate change is the defining issue of our time and, together with S&P Global, we are committed to helping Citi and the industry manage its implications,” said Ilya Khaykin, Partner and Head of Climate Risk for the Americas at Oliver Wyman.

The models build on both S&P Global Market Intelligence and Oliver Wyman’s deep legacy in Environment, Social and Governance (ESG) and climate risk management. CCA translates climate scenarios into scenario-adjusted financials and scores at the company level by combining S&P Global Market Intelligence’s advanced Credit Analytics risk models and unique industry-specific datasets with Oliver Wyman’s industry-leading climate scenario and stress testing expertise. Climate Credit Analytics enables climate scenario analysis through 2050 by natively incorporating the 2021 scenarios published by the Network for Greening the Financial System as well as evaluating the impact of customized scenarios.