ESG Risk Modelling in Financial Institutions: Foundations and Practical Applications
12th November 2026, 9:00 AM (UTC+2 / CEST – Warsaw time)
590 EUR
Online | Foundation to Intermediate Level
BankingESGRisk Management
Financial institutions are increasingly expected to identify, assess and manage climate and ESG risks alongside traditional financial risks. This course equips risk professionals with the knowledge needed to understand emerging regulatory expectations, navigate ESG data challenges and support the integration of climate and ESG considerations into existing risk management frameworks. Combining expert insights with practical case studies, the programme provides a solid foundation for professionals involved in risk management, modelling, validation, analytics and sustainability initiatives.
Agenda highlights
Climate Change and ESG Fundamentals for Financial Institutions
Climate Risk: Physical and Transition Risk Drivers
ESG Regulation and Supervisory Expectations
ESG Data and Measurement Challenges
Climate and ESG Risk Modelling: Concepts and Approaches
Scenario Analysis and Climate Stress Testing
Integrating ESG Risks into Credit, Market and Operational Risk Frameworks
Practical Case Studies and Industry Applications
Training formula
Training Language
English
Meeting
Online
Duration
8h (09:00 – 17:00)
Type
Mixed (combination of interactive lectures, case studies and group exercises)
Practical takeaways:
By the end of this course, participants will be able to:
Recognise and assess key climate and ESG risk drivers.
Understand how ESG factors affect credit, market and operational risk.
Navigate regulatory expectations and data challenges.
Support climate and ESG risk modelling and stress-testing initiatives.
Contribute effectively to ESG-related risk and sustainability projects.
Target audience
This course is designed for risk, modelling, ESG and data professionals seeking to understand how climate and ESG risks can be identified, measured and incorporated into financial risk management frameworks.
Functions & departments
Credit, Market, Operational and Enterprise Risk Professionals
Risk Modellers and Quantitative Analysts
Model Validators, Model Risk Managers
Risk Officers and Risk Governance Professionals
Data Analysts, Data Scientists, and Reporting Professionals supporting risk functions
Auditors, Internal Audit and Compliance employees and leads
Advisors and consultants
Course level:
Foundation to intermediate
Prerequisites:
Familiarity with core risk management concepts (e.g., credit, market or operational risk)
General awareness of data analysis concepts is beneficial but not required
No prior experience in ESG or climate risk modelling is required
