The Climate Risk Toolkit: scenarios, models, and getting it right

Climate risk disclosure has shifted from a differentiator to the baseline, and the expectations keep moving. Institutional investors must now disclose and manage climate-related risks across multiple warming scenarios.

Join Environmental Finance and Clarity AI to explore how financial institutions are operationalising climate risk through scenario analysis, forward-looking metrics, and AI-driven workflows. Through real case studies, the panel will examine how to choose the right approach for your use case, validate the data you rely on, and integrate climate risk analysis into investment decisions in a way that's coherent, scalable, and auditable.

Michael Hurley (Moderator)

Deputy Editor, Environmental Finance

Jean-Charles Prabonneau

Climate Lead, Clarity AI

Jessica Zarzycki

Portfolio Manager, Fixed Income, Nuveen

Nico Fettes

Climate Research Director, Clarity AI

The Climate Risk Toolkit: scenarios, models, and getting it right

What do top-down models actually offer, and when are they the right tool for stress testing and climate reporting?

Where do bottom-up, asset-level approaches add precision that macro models can't reach?

How are companies disclosing risk exposure and what separates genuine adaptation from noise?

The Climate Risk Toolkit: scenarios, models, and getting it right

Speaker

Topics of discussion

What do top-down models actually offer, and when are they the right tool for stress testing and climate reporting?

Where do bottom-up, asset-level approaches add precision that macro models can't reach?

How are companies disclosing risk exposure and what separates genuine adaptation from noise?

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