ESG integration into model risk management

  • Climate risk and ESG, Quant and model risk
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Key reasons to attend

  • Manage risk with environmental, social and governance (ESG) scores
  • Integrate ESG factors into financial risk modelling
  • Learn about the relation of climate stress-testing to ESG

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Customised solutions

Does your team require a tailored learning solution on this or any other topic?

Working with the portfolio of expert tutors and’s editorial team, we can develop and deliver a customised learning to make the most impact for your team, from initial assessment to final review. 

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About the course

Explore the essential elements of ESG modelling strategies at this interactive learning event. Participants will gain a deep understanding of the latest developments, trends and challenges of the ESG landscape. 

Key sessions will teach participants current regulatory requirements and frameworks. Participants will explore practical examples of embedding ESG factors into model risk frameworks by mapping ESG risks. They will connect with tutors and peers through active learning, Q&A sessions and case studies, learning from in-depth content and practical examples.

Pricing options:

  • Early-bird rate: save up to $800 per person by booking in advance (refer to the booking section for the deadline)
  • 3-for-2 rate: save over $2,000 by booking a group of three attendees (applicable to this course)
  • Subscriber reward: save 30% off the standard rate if you are a subscriber* (use code SUB30)
  • Season tickets: save over $1,000 per person by booking 10 or more tickets (available on selection of courses)

*The 30% subscriber reward discount is applicable only to current subscribers. If this criteria is not met, we reserve the right to cancel the booking and issue an invoice for the correct rate. Discounts cannot be applied to already registered participants.

Learning objectives

  • Address ESG risks when utilising artificial intelligence models
  • Align ESG and risk management 
  • Interpret regulatory frameworks, ratings and guidelines
  • Assess the reputational and enterprise risk on sustainable investing  
  • Build a robust ESG model risk framework 
  • Evaluate ESG data needs, sources and challenges 

Who should attend

Relevant departments may include but are not limited to: 

  • Climate risk  
  • Model risk   
  • ESG
  • Risk management   
  • Data management    



September 9–11, 2024

Live online. Timezones: Emea/Apac


  • Overview of environmental, social and governance (ESG)
    • Regulatory requirements and standards
  • Model risk in physical climate risk models
  • Incorporating ESG factors into model risk frameworks
  • ESG scorecard validation
  • AI governance as part of G
  • Sustainable finance and investing
    • Part one: sustainable investing
    • Part two: sustainable finance agreements and impact
  • ESG data management and sourcing the right dataset
  • Climate stress-testing and its relation to ESG

View detailed agenda

October 15–17, 2024

Live online. Timezones: Emea/Americas

View detailed agenda


Dr Nasir Ahmad

Managing partner

Basinghall Analytics

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Nasir is managing partner of Basinghall Analytics and currently leads strategy of the firm, business and solution development.

He specialises in stress-testing and reverse stress-testing, model risk, recovery planning and resolution, capital and liquidity regulation and previous positions include banking book quant at Royal Bank of Canada, trading book quant at Toronto Dominion Bank, director at Arthur Andersen, partner at EY, managing director at BlackRock, advisory lead partner at Parker Fitzgerald.

Nasir has worked on such notable projects as: implementation of a stress-testing orchestration platform, implementation of a new model risk methodology and tool, design of supervisory framework at UK regulator. He has a MSc in Theoretical Physics and PhD in Mathematics from the Swiss Federal Institute of Technology in Lausanne (EPFL).

Dr Horst Kausch

Partner and head of research

Basinghall Analytics

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Horst specialises in risk modelling at financial institutions as well as model risk, with expertise across the full lifecycle and risk architecture. He is an experienced risk professional with a strong focus on model risk across the full spectrum of risk models for regulatory capital and impairments. He is able to communicate complex technical issues in an effective manner to prudential regulators and senior decision makers. He has a proven record of translating strategy into practical solutions delivered with highly engaged distributed teams. He is a frequent speaker for Risk Learning on diverse topics such as integrating ESG into model risk management, model risk management, and counterparty risk and SA-CCR.


John Brent


Basinghall Analytics

View bio

John leads stress-testing and RRP solutions. He specialises in stress-testing, market risk in credit products and equities, risk framework and system design. Some of his most outstanding projects include stress-testing at a large UK bank, market risk integration at a large EU bank, design of country risk framework, implementation of an agile top-down stress-testing system.

Some of his previous roles include being a risk specialist at the Financial Services Authority, head of credit trading and structured credit at ABN Amro, head of equities market risk at RBS, head of stress-testing policy and model governance at HSBC. John has a MA in Economics from the University of Cambridge.


This course is CPD (Continued Professional Development) accredited. One credit is awarded for every hour of learning at the event.

Pre-reading materials

The resources below have been selected to enhance your learning experience:

A subscription will provide you access to these articles. Alternatively, register for free to read two news articles a month 


September 9–11, 2024

Online, Emea/Apac



Early-bird Price

Ends August 9

October 15–17, 2024

Online, Emea/Americas



Early-bird Price

Ends September 13
Book now

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  • Customisation of this programme
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