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The ESG Risk Rating

Measure your organisation’s environmental, social, and governance performance, improve your ESG risks, and gain access to risk and insurance benefits with Marsh’s bespoke Risk Rating Tool.

Request the ESG Risk Rating

What is The ESG Risk Rating?

The ESG Risk Rating, developed by Marsh, is a complimentary self-assessment that enables you to measure your organisation’s environmental, social, and governance performance, improve your ESG risks, and gain access to risk and insurance benefits.

Measuring against more than 10 internationally recognised standards and frameworks – including the Task Force on Climate-related Financial Disclosures, the Global Reporting Initiative, and the European Union Taxonomy for Sustainable Activities – The ESG Risk Rating scores your organisation’s performance across 18 ESG themes. On completion of the free assessment, you will receive:

An overall ESG risk score out of 10.
A risk rating for each ESG component.
Scores across the 18 themes.
A risk assessment and recommendations for your controls, reporting, and resilience.

Why complete an ESG risk assessment?

Embedding ESG is increasingly a source of competitive advantage to the organisations that do it well. The ESG Risk Rating provides you with a clear framework from which to better understand your ESG performance, make more informed investment decisions, and potentially negotiate better insurance outcomes.

How to use your ESG Risk Rating results

You can use your ESG Risk Rating results to identify your most critical sustainability- and climate-related risks and opportunities, and work with Marsh’s advisors to further develop your ESG strategies. You can also choose to share that output with stakeholders, many of whom are becoming increasingly inquisitive and concerned about ESG risks.

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This publication is not intended to be taken as advice regarding any individual situation and should not be relied upon as such. The information contained herein is based on sources we believe reliable, but we make no representation or warranty as to its accuracy. Marsh shall have no obligation to update this publication and shall have no liability to you or any other party arising out of this publication or any matter contained herein. Any modelling, analytics, or projections are subject to inherent uncertainty, and the Marsh Analysis could be materially affected if any underlying assumptions, conditions, information, or factors are inaccurate or incomplete or should change. LCPA 22/213

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