NLP in risk management: leveraging large language models
View AgendaKey reasons to attend
- Discover practical applications of natural language processing (NLP) in risk management
- Explore controls and risk mitigation strategies for large language models (LLMs)
- Delve into current and upcoming artificial intelligence (AI) regulations
Customised solutions
Does your team require a tailored learning solution on this or any other topic?
Working with the portfolio of expert tutors and Risk.net’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.
About the course
NLP is revolutionising the financial sector, particularly with the emergence of groundbreaking LLMs like ChatGPT. This course introduces both traditional NLP methods and the latest language models.
Participants will explore how to validate an LLM, select from various providers and libraries and learn techniques for fine-tuning these models to suit their organisation’s specific needs.
Through live demonstrations, attendees will examine successful risk management use cases, including text generation, information retrieval and extraction. Participants will also gain invaluable insights into effectively detecting, preventing and mitigating risks associated with these technologies.
This training also addresses key challenges in NLP implementation, such as ‘hallucinations’, data privacy concerns and legal risks, ensuring a safe and ethical deployment.
No prior technical knowledge is required to attend this course.
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: save up to 60% - request price breakdown
*T&C apply, see registration page.
Learning objectives
- Identify key libraries and providers for LLMs
- Learn how to validate LLMs and identify inaccuracies
- Navigate bias, fairness and explainability in AI
- Examine strategies for customising and improving LLM outputs
- Understand the principles of prompt engineering
Who should attend
Relevant departments may include, but are not limited to:
- Risk management
- Risk technology
- Compliance
- Strategy
- Management
- IT and data
This course is best suited for practitioners seeking insights into the risks and opportunities of NLP technology, with a focus on large language models.
Agenda
November 18–20, 2025
Live online. Timezones: Emea/Americas
Sessions:
- Introduction to the technology
- Deep dive into large language models (LLMs)
- Tried and tested use cases
- Risk management and compliance (part one)
- Organisational implementation
- Risk management and compliance (part two)
Pre-reading materials
Brows through the Risk.net resources to enhance your learning experience:
A Risk.net subscription will provide you access to the content. Alternatively, register for free to read two articles.
Expand your learning
Events
The premier meeting place for the risk community. Providing clarity and guidance on the fast-changing regulatory landscape of capital, credit and market risk, liquidity and derivates use.
Journals
Risk Journals deliver academically rigorous, practitioner-focused content and resources for the rapidly evolving discipline of financial risk management.
Books
Risk Books are authored by leading professionals and academics. With over 150 books spanning 1,000s of chapters, our publications team is committed to connecting readers with these world class experts.
Glossary
Regularly updated by our team analysts, journalists and producers, our glossary demystifies the terminology and acronyms used in risk management, risk transfer, policy, technology and innovation.