Ammar Belatreche

Leveraging Artificial Intelligence in Stock Market Manipulation Detection

Financial markets remain prone to fraud and different forms of manipulation whereby some market players deliberately interfere with the free and fair operation of the market. Market abuse damages market integrity and undermines investors’ confidence in financial markets. Protecting market participants from fraudulent practices and ensuring a fair and orderly market for all investors remain a significant challenge for financial regulators. This challenge is further exacerbated by high-frequency trading, high data volumes and cross-market linkages. This talk will explore the opportunities and challenges of using AI and bio-inspired techniques for early detection and identification of different forms of market manipulation.

Dr Belatreche is a Senior Lecturer in Computer Science and Programme Leader for the MSc Advanced Computer Science in the Department of Computer & Information Sciences, Northumbria University. He has extensive R&D experience in machine learning, structured and unstructured data analytics, capital markets engineering and bio-inspired intelligent systems. He has led a number of research and consultancy projects and has successfully supervised/co-supervised 8 PhD students to completion. He is a fellow of the Higher Education Academy, an Associate Editor of Elsevier Neurocomputing and has served as a program committee member and a reviewer for several international conferences and journals.

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