AI-driven risk management in finance

  • AI and machine learning
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Key reasons to attend 

  • Examine the diverse applications of artificial intelligence (AI) in risk management 
  • Learn how to implement AI solutions and navigate the associated challenges 
  • Explore the most recent AI innovations shaping the future of finance

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About the course

AI has revolutionised risk management in finance, introducing groundbreaking methods to identify and mitigate risks. This course provides an in-depth exploration of AI’s role in enhancing operational, IT and financial risk management, covering the automation of manual tasks.

Participants will discover the latest regulatory frameworks affecting AI use, ethical considerations and data privacy challenges. Expert-led sessions will guide attendees on the practical implementation of AI solutions, considering the business need and integration with existing systems. This course also introduces AI model validation techniques and strategies for optimising model results using AI.

Attendees will learn about emerging technologies, including open banking and blockchain, equipping them with the knowledge to be at the forefront of financial innovation.


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 Risk.net 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 Risk.net 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

  • Uncover the latest regulatory frameworks impacting AI in finance
  • Explore ethical considerations and data privacy
  • Apply AI techniques to enhance operational, IT, cyber and financial risk management
  • Develop skills for effective data collection and preparation
  • Investigate AI model validation techniques
  • Understand and counter AI-related risks
  • Discover the intersection of AI and quantum computing

Who should attend

Relevant departments may include but are not limited to: 

  • Risk management
  • IT and data
  • Risk model validation
  • Model risk
  • Quant/analyst
  • Financial crime
  • Operational risk
  • Risk technology
  • Compliance

Agenda

June 18–20, 2024

Live online. Timezones: Emea/Apac 

Sessions:

  • Artificial intelligence (AI): understanding fundamental dynamics
  • Introduction to AI in risk management
  • Implementing AI governance
  • AI and data management
  • Using AI to enhance risk management
  • AI model risk management

Tutors:

  • Daniel Garcia, Risk and compliance subject matter expert
  • Paul Chammas, Co-founder and managing partner, Quantum Risk Advisory
  • Soren Mork, Director-Head of AI risk, FSO technology consulting, EY
  • Jenny Wu, Executive data and AI intelligence subject matter expert
  • Carl Chan, Director, Accuracy

View detailed agenda


October 14–16, 2024

Live online. Timezones: Emea/Americas

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Tutors

Daniel Garcia Risk Learning Faculty

Risk and compliance subject matter expert

View bio

Daniel is a Risk & Compliance Subject Matter Expert (SME) with over 16 years of global experience, having worked for major financial institutions and consulting firms in Latin America, Europe, and Asia. Previously, he led the Risk Management Global Practice at Verdantix, where he led the market research intelligence and provided advisory services on risk and compliance matters.

Daniel holds a BA degree in economics and different specialisations in Capital Markets and Financial Engineering.

Paul Chammas Risk Learning Faculty

Co-founder and managing partner

Quantum Risk Advisory

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Paul Chammas is a seasoned Technology Risk & Cybersecurity consultant, auditor, and trainer, with over 14 years of experience dedicated to financial services. In 2021, he co-founded Quantum Risk Advisory (QuRISK), a startup specialized in risk management for emerging technologies, particularly focusing on Artificial Intelligence and Quantum Technologies.

With an Engineering degree in Telecommunications from EFREI Paris, a Masters in Technology Management from HEC Paris, and a Masters in Quantum Technologies from UPM Spain, Paul seamlessly blends technical expertise with strategic insight. His unwavering commitment is focused on providing organizations with the appropriate methodological tools to safely adopt cutting-edge technologies.

Soren Mork

Director - Head of AI risk, FSO technology consulting

EY

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Søren is director, FSO Nordics AI lead and head of EY’s AI Risk team based in Copenhagen that focus on model validation of artificial intelligence (AI)/machine learning models. He established and headed one of the first dedicated AI/machine learning model validation units in Europe and is one of its leading experts on AI/machine learning model risk. He has a PhD in AI/machine learning and 15+ years’ experience as a researcher and model validator, and within all aspects of model risk management. He has been actively engaged in AI/machine learning risk management in the financial sector for the past 6 years. During the years Søren has organized and chaired roundtables on AI/machine learning model risk management with leading banks in Europe and has been invited as speaker on AI model risk at conferences and universities and advised both local FSA’s and EBA on AI/machine learning risk in the financial sector. He is a co-representative of Denmark in the CEN/CENELEC (European equivalent of ISO/IEC) Joint Technical Committee 21 for Standardization on AI, in support of the upcoming European AI act.

Jenny Wu

Executive data and AI intelligence subject matter expert

View bio

Jenny is an executive data and artificial intelligence (AI) leader with extensive experience in the development of strategy, governance and program management for large-scale transformation across multiple functional areas underpinning innovation, digital transformation and regulatory and risk agendas. She has over 25 years of experience spanning across the ecosystem of data, technology & AI and integrated the deployment of advanced analytics with enterprise data management and risk & strategy. Jenny started her career doing hands-on data science work as a statistician before taking up banking executive roles and transitioning into consulting. Over the last 7 years, Jenny has consulted through PwC, KPMG and Deloitte on data, technology and risk. Currently, she is an executive director with TUTXI focusing on data & AI governance strategy and climate analytics. Jenny is MBA qualified and holds a graduate member status with the Australian Institution of Company Directors.

Carl Chan Risk Learning Faculty

Director

Accuracy

View bio

Carl is a consulting professional with 15 years of experience in serving financial institutions, large corporates, governments, pension funds, etc. on topics including risk management, ESG, data analytics, portfolio management and digitalisation.

Before joining Accuracy in 2021, Carl worked in HSBC, Moody’s Analytics and Big 4 advisory firms where he delivered 100+ projects. Carl has worked with professionals including product specialists, researchers, system developers and practice leaders to deliver engagements.

Carl holds a BSc in Actuarial Science degree from the University of Hong Kong. He is a CFA®, FRM® and a member of the Risk Learning Faculty.

Pre-reading materials

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Registration

October 14–16, 2024

Online, Emea/Americas

Price

$2,999

Early-bird Price

$2,199
Ends September 13
Book now

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  • Agenda and registration process
  • Group booking rates
  • Customisation of this programme
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