The Corporate Sustainability Reporting Directive (CSRD) requires companies to disclose “material sustainability matters”. Specifically, companies must undertake a ‘double materiality assessment’ to identify which sustainability matters are most material to the organization and its stakeholders.

The keyword here is “double”: companies must consider their impact on people and environment (“inside-out view”), as well as the impact of external sustainability-related developments and events on their own risks and opportunities (“the outside-in view”).

In this workshop, we will outline the main steps in identifying and assessing double materiality for financial institutions. We will focus on main approaches in each of the steps from a practical perspective.

On the examples of corporate lending portfolios, we will zoom in on issues such as:

• How to identify potentially relevant sustainability matters and the related impacts, risks and opportunities.
• How to assess impacts, financial opportunities, and risks.
• What are the strategic implications and main action points resulting from such a double materiality exercise.

The workshop day on Wednesday 15th May will be complimentary to all delegates.

The workshop will include two 1:45 hour sessions (13:00 – 14:45 and 15:00 – 17:00) with 15 min coffee break after the first session and 15 min Q&A after the second session.

Svetlana Borovkova:

Head of Quantitative Modelling, Probability & Partners. Associate Prof, Vrije Universiteit Amsterdam

Svetlana Borovkova: Head of Quantitative Modelling, Probability & Partners and Associate Professor, Vrije Universiteit Amsterdam

Dr Svetlana Borovkova is the partner and Head of Quant Modelling of risk management consulting firm Probability and Partners and an Associate Professor of Quantitative Finance and Risk Management at the  Vrije Universiteit Amsterdam. She is the author of over 60 academic and professional publications and a frequent speaker at conferences such as RiskMinds and QuantMinds. Her work encompasses a wide range of topics, ranging from derivatives pricing and risk modelling to sentiment analysis for quant investing and machine learning in quant finance. Find her work at SSRN and her columns on various finance topics in Financial Investigator.