AI-driven risk management in finance workshop
View AgendaKey reasons to attend
- Understand the key artificial intelligence (AI) risk drivers
- Learn about AI applications in the financial industry
- Examine the importance of large language models
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About the course
Join this in-person learning event to gain valuable insights into the ways organisations are integrating AI into their risk management practices. Expert-led sessions will guide participants on the use of AI model validation techniques and strategies for optimising model results.
Key sessions will navigate the current local regulatory landscape, highlighting responsible uses of AI and the ethical considerations for financial institutions, such as AI explainability and the development of AI governance frameworks.
Participants will enhance their knowledge of the diverse roles of AI in risk management, including in areas such as compliance, cyber and financial risk management. Participants will also learn about how financial institutions are integrating this generative AI into their current practices.
Learning objectives
- Navigate the local regulatory guidelines impacting AI in finance
- Explore ethical considerations and data privacy concerns
- Apply AI techniques to enhance operational and IT risk management
- Implement AI model validation techniques
- Examine the use of generative AI in risk management
- Evaluate the challenges of AI explainability and interpretability
Who should attend
Relevant departments may include but are not limited to:
- Risk management
- IT and data
- Risk model validation
- Model risk
- Quant analysis
- Financial crime
- Operational risk
- Risk technology
- Compliance
- Regulation
Agenda
July 31, 2024
In-person. Location: Sydney, Australia
Sessions:
- Artificial intelligence (AI): understanding the fundamental dynamics
- AI regulatory landscape
- Introduction to AI in risk management
- Overview of generative AI
- Using AI to enhance risk management
- AI models
- Class exercise
Request detailed agenda
Tutor:
- Ben Watson, Chief executive, Maroon Analytics Australia
September 27, 2024
In-person. Singapore
Sessions:
- Artificial intelligence (AI): understanding the fundamental dynamics
- Forthcoming intentions for AI
- Introduction to AI in risk management
- Overview of generative AI
- Using AI to enhance risk management
- AI models
- Class exercise
Request detailed agenda
Tutors
Ben Watson
Chief executive
Maroon Analytics Australia
Ben Watson is the chief executive of Maroon Analytics Australia, a quantitative analytics consultancy that helps banks and financial institutions with all aspect of their quant requirements. Maroon has been helping it clients with some of the more complex issues that they face today, such as OIS discounting, XVA pricing, risk management, initial margin modelling, market and credit risk management and portfolio modelling. Ben has successfully been running Maroon Analytics consulting business for the past 11 years.
Ben has recently developed a full featured analytical risk management system called Quantics. This system is currently being rolled out to a wholesale fund manager that is being used to manage the credit and market risk, provide full profit and loss attribution along with powerful analytic tools that perform risk and relative value modelling of instruments and portfolios. Ben is expanding Quantic’s capabilities by incorporating machine learning algorithms for analytical tasks such as factor analysis, relative value analysis, risk management and algo trading.
Ben came to the Maroon business with 17 years working for investment banks as a quantitative analyst. Up to 2012 he was the APAC regional head of the quant function for RBS, and before that he was the local head of quantitative analytics at ABN AMRO Australia. Working directly with traders he has a long track record of building real time pricing and risk management systems. He has built credit, bond, swaps, FWD FX, swaptions, inflation bonds and swaps, MBS, CDS pricing and trading systems for the front office. While at ABN Amro, Ben also ran a successful quantitative trading book based on relative value trading strategies in interest rate swaps and futures.
Pre-reading materials
The Risk.net resources below have been selected to enhance your learning experience:
- Iosco gears up for ‘intensive work’ on AI regulation - Read article
- The fine line with LLMs: financial institutions’ cautious embrace of AI - Read article
- AI expert warns of algo-based market manipulation - Read article
A Risk.net subscription will provide you access to these articles. Alternatively, register for free to read two news articles a month.
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