ESG integration into model risk management
View AgendaKey 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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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*
- 3-for-2 rate: save over $2,000 by booking a group of three attendees*
- Subscriber reward: save 30% off the standard rate if you are a Risk.net subscriber*
- Season tickets: cost-effective option for groups of 10 or more. Learn more
*T&Cs apply
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
Agenda
September 9–11, 2024
Live online. Timezones: Emea/Apac
Sessions:
- 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
Tutors:
- Nasir Ahmad, Managing partner, Basinghall Analytics
- Horst Kausch, Partner and chief technology officer, Basinghall Analytics
- John Brent, Partner, Basinghall Analytics
October 15–17, 2024
Live online. Timezones: Emea/Americas
Sessions:
- 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
Tutors:
- Nasir Ahmad, Managing partner, Basinghall Analytics
- Horst Kausch, Partner and chief technology officer, Basinghall Analytics
- John Brent, Partner, Basinghall Analytics
Tutors
Dr Nasir Ahmad
Managing partner
Basinghall Analytics
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
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
Partner
Basinghall Analytics
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.
Accreditation
This course is CPD (Continued Professional Development) accredited. One credit is awarded for every hour of learning at the event.
Pre-reading materials
The Risk.net resources below have been selected to enhance your learning experience:
- ESG: the new risk factor in your portfolio
- Climate risk models and metrics: what works and what doesn’t?
- AI in sheep’s clothing? Wolfe Research develops finance chatbot
A Risk.net subscription will provide you access to these articles. Alternatively, register for free to read two news articles a month