Limits to the Use of Large Language Models in the Financial Markets

Image

Sunway Business School x Sunway International School Kuala Lumpur co-organizing Special Guest lecture sharing on AI & Finance: Limits to the Use of Large Language Models in the Financial Markets, 22 May 2026 (Friday).

Join us for a thought-provoking special guest lecture exploring the realities, risks, and limitations of artificial intelligence in global finance. As Large Language Models (LLMs) continue to transform industries, how far can they truly go in the high-stakes world of financial markets?

Speaker: Dr Richard Saldanha, Teaching Fellow, Queen Mary University of London

• Date        : 22 May 2026 (Friday)
• Time       : 11:00 am – 12.30 pm
• Venue    :  Rooftop Terrace, Graduate Centre

Speaker Biography

Dr Richard Saldanha is a Teaching Fellow in the School of Economics and Finance at Queen Mary University of London, a role he has held for eight years. He is an expert in statistical machine learning and quantitative finance. Dr Saldanha recently joined the Board of Sunway International Schools, Malaysia as part of its collaboration with Magdalen College School, Oxford where he has served as a Governor, Company Director and Charity Trustee for over eight years. Dr Saldanha worked in the City of London for over 20 years and was involved in risk, trading and fund management activities at various large established financial institutions. As well as postgraduate teaching in the School of Economics and Finance, Dr Saldanha is involved in the AI for Control Problems Project at The Alan Turing Institute. Dr Saldanha attended Oriel College, University of Oxford, and holds a doctorate (DPhil) in graph theory and multivariate statistics from the University of Oxford. He is a Fellow and Chartered Statistician (CStat) of the Royal Statistical Society; a Science Council Chartered Scientist (CSci); and a Fellow and Advanced Practitioner in Artificial Intelligence of the Institute of Science and Technology – FIScT(AI).

This lecture will focus on the gap between the general-purpose capabilities of LLMs and the precision-driven demands of global financial markets. While LLMs are highly effective in processing unstructured data, they face structural, ethical, and regulatory limitations that prevent them from replacing traditional quantitative models and human judgment.

Key discussion areas include:

• Hype vs. the high level of accuracy required for sound trading decisions
• Technical and cognitive limitations of LLMs
• Strategic and market risks
• Regulatory and legal constraints

We warmly invite all staff and students to attend this timely and insightful session. Don’t miss the opportunity to gain valuable perspectives from an international expert at the intersection of AI and finance.

Please scan the QR code below to secure your seat:

Register Now

For further enquiry, please contact:

Rafferty Hoo Wei Hoong (SBS Event Coordinator and Lecturer, Sunway Business School)
Email: @email

Dr Stella Ong Kim Yoke (Deputy Dean, Employability & Alumni, Sunway Business School)
Email: @email