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NLP IN RISK MANAGEMENT: LEVERAGING LARGE LANGUAGE MODELS

 * AI and machine learning

View Agenda


KEY 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

Find out more


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.

Find out more


 * Learning objectives
 * Agenda
 * Tutors
 * Accreditation
 * Pre-reading material
 * Contact us

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

SEPTEMBER 17–19, 2024

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)

Tutors:

 * Jos Gheerardyn, Co-founder and chief executive, Yields.io
 * Tonia Durfee, Executive director, UBS
 * Jesús Calderón, Managing director, Maclear Data Solutions
 * Federico Crecchi, Associate partner and co-head of data science, Prometeia

View detailed agenda 

TUTORS

JOS GHEERARDYN

Founder and CEO

Yield.io

View bio

Jos Gheerardyn is at the forefront of revolutionising FinTech as the CEO and
co-founder of Yield.io, an award-winning AI platform dedicated to model risk
management and the first platform utilising AI for real-time model testing and
validation on an enterprise scale. Passionate about algorithm monitoring,
testing, and validation, Jos is an advocate for model risk governance and
strategy and has 18 years of post-PhD experience in the financial services
industry. Prior to his current role, he was active in quantitative finance both
as a manager and an analyst. He has worked with leading international investment
banks as well as with award winning start-up companies. He is the author of
multiple patents applying quantitative risk management techniques on imbalance
markets. Jos’ academic foundation is robust, holding a PhD in theoretical
physics with a focus on superstring theory from the University of Leuven.

JESÚS CALDERÓN

Managing director

Maclear Data Solutions

View bio

Jesús Calderón advises Canadian and international clients in the financial
services and energy industries on the implementation of data-driven solutions
for risk management in banking, insurance, capital markets, and energy trading,
as well as anti-money laundering and regulatory activities. Jesús has over
twelve years of experience in risk management, internal audit, and fraud
investigations, where he has specialized in the application of data science and
machine learning methods to optimize risk control activities and examinations.

FEDERICO CRECCHI

Associate Partner and co-head of the data science practice

Prometeia

View bio

Federico is an associate partner and the co-head of the data science practice at
Prometeia, specializing in banking analytics. He holds an M.Sc. from the
University of Chicago in Physics and is a CFA charterholder. Before joining
Prometeia, he worked for the Generali Group in investments and data science.
Federico has successfully overseen numerous AI projects within complex
institutions, spanning areas such as risk analytics, CRM enhancement, fraud
analytics, and intelligent process automation.


TONIA DURFEE

Executive Director, Global Compliance & Risk Group, Remediation and Integration

UBS

View bio

Dr. Durfee is an accomplished executive leader with a Ph.D. in information
systems specialising in natural language processing. With over a decade of
experience, she has excelled in building complex global risk management
programs, optimising data infrastructure, and enhancing organisational design. 

Her strategic initiatives include redesigning a graduate program curriculum,
boosting enrollment by 24%, and leading projects that generated $105 million in
originations for a retail bank.

Currently, as Executive Director at UBS, Dr. Durfee focuses on data governance,
risk methodologies, and legal cost reporting for non-financial risk. Previously,
she served as Global Head of Non-Financial Risk/Loss Data at Credit Suisse. 

PRE-READING MATERIALS

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

 * LLM integration: Special report 2024
 * Dismantling the zeal and the hype: the real GenAI use cases in risk
   management
 * How Ally found the key to GenAI at the bottom of a teacup

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

RELATED TRAINING

AI AND MACHINE LEARNING SYSTEMS: DEVELOPMENT AND MANAGEMENT

 * Date
   
   July 23–25, 2024

 * Timezone
   
   Emea/Americas

AI-DRIVEN RISK MANAGEMENT IN FINANCE

 * Date
   
   June 18–20, 2024
   
   October 14–16, 2024

 * Timezone
   
   Emea/Apac
   
   Emea/Americas

AI-DRIVEN RISK MANAGEMENT IN FINANCE WORKSHOP

 * Date
   
   July 31, 2024
   
   September 27, 2024

 * Timezone
   
   Apac
   
   Apac


REGISTRATION


SEPTEMBER 17–19, 2024

Online, Emea/Americas

Price

$2,999

Early-bird Price

$2,199

Ends August 16
Book now


ENQUIRE ABOUT:

 * Agenda and registration process
 * Group booking rates
 * Customisation of this programme
 * Season tickets options

Contact us

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