Risk & Governance Leader with over 25 years of experience in leading-edge model risk management, market risk, and transformational change across global banking institutions. A recognized thought leader and keynote speaker on Model Risk and AI Governance with a proven track record of translating complex technical topics into compelling, actionable narratives for audiences spanning the C-suite, regulators, and technical specialists alike.
Most recently at Commerzbank AG, led the end-to-end transformation of the Model Risk Management function, building it from the ground up into a strategic, enterprise-wide capability, encompassing a fully redesigned MRM framework, a sustainable model inventory covering new AI and machine learning model families, and 2nd Line AI Governance embedding. Equally at home driving board-level strategy and representing institutions to supervisors as leading high-performing, multi-geography teams.
Gary Ang led AI risk supervision at the Monetary Authority of Singapore, where he developed Singapore's first AI risk management guidelines for the financial sector. He was previously division head for investment risk management, overseeing risk management of Singapore's foreign reserves. He now runs an independent practice - Quantitative - focused on AI governance and risk management in financial services. Current and upcoming training engagements include the Monetary Authority of Singapore, the Association of Banks in Singapore, Singapore College of Insurance, Wealth Management Institute, and Cambridge Centre for Alternative Finance. Gary holds a PhD in Computer Science. His research focused on deep learning for networks, time series, and multimodal data, and he has published at leading venues including ACL and ACM conferences. He also holds a Master's degree in Financial Engineering and Knowledge Engineering from NUS.
Justin Xu is Chief Quant and AI Officer at MillTech, where he leads the firm’s artificial intelligence strategy, quantitative research, FX hedging, and risk management activities. He oversees cross-functional teams building scalable, production-grade AI and machine learning systems across portfolio construction, currency hedging, risk management, and enterprise decision-making.
Justin has more than 15 years of experience in financial markets, combining expertise in quantitative research, risk management, systematic strategies, and technology-led product innovation.
Recognized as a thought leader in the application of AI to capital markets, Justin regularly speaks at industry conferences, including Future Alpha, TradingTech Summit, AI in Capital Markets, and Momentum AI. He is currently a member of the Bank of England and FCA Artificial Intelligence Consortium and sits on the advisory board of Future Alpha.
Justin previously lectured in Financial Economics at the University of Glasgow. He earned a PhD in Financial Econometrics from Lancaster University, is a certified Financial Risk Manager, and holds the Certificate in Quantitative Finance
Alexander Fleiss is the Founder and Chief Executive Officer of Rebellion Research, an artificial intelligence research and asset management firm. He also oversees Rebellion Research's media division, which reached more than one million readers in a single month through its coverage of artificial intelligence, finance, technology, economics, and scientific innovation, and partners with MIT, Berkeley, Columbia, Cornell, Fordham, and leading universities for educational conferences.
Mr. Fleiss has lectured on artificial intelligence, finance, and innovation at more than 30 universities and has managed research projects at Rutgers, Berkeley, Yale, Princeton, Columbia, Cornell, and MIT. He serves on the advisory boards of the financial engineering programs at Cornell University and Fordham University, is an editor of the Journal of Finance and Data Science, and has published more than 20 published research papers on SSRN with over 5,000+ downloads.
Martin is a Director at Mizuho USA Bank, heading model validation for market risk and credit risk.
Previously, he worked as a quant at Bloomberg, S&P, CME, Citi, and JPMorgan Chase.
Martin has worked as a quant since 1988.
Martin is co-author of the book "A First Course in Model Validation and Model Risk Management."
Martin's PhD in theoretical quantum chemistry is from City University of New York.
Emre Kazim is the co-founder and co-CEO of Holistic AI, creators of the industry-leading AI Governance Platform for the enterprise. Holistic’s mission is to empower enterprises to adopt and scale AI with confidence. Since founding the company in 2020, Emre has led Holistic's efforts to accelerate AI transformation in leading enterprises, including Allegis, Mapfre, Michelin, Unilever, Wikimedia, and Writer.
Emre has an extensive background in AI ethics and governance, and has published more than 50 peer-reviewed articles in collaboration with government and industry leaders. Before founding Holistic AI, Emre was part of the University College London’s computer science department, responsible for developing an interdisciplinary response to the issue of AI ethics, through which he met Adriano, his fellow co-founder and co-CEO.
He is an official member of Forbes Technology Council 2026, an active member of the NIST AI Safety Institute, and a member of OECD's Network of Experts on AI. An alumnus of UCL and King's College London, Emre holds an MSci in Chemistry, an MA, and a Ph.D. in Philosophy.
Professor Lukasz Szpruch is Director for Finance and Economics at The Alan Turing Institute and Professor of Mathematics of Machine Learning at the University of Edinburgh. He founded and leads FAIR, a leading research program focused on AI in finance. His work centers on translating cutting-edge research into practical frameworks, tools, and delivery programs that enable scalable adoption of AI in high-stakes, regulated environments.
His expertise spans machine learning, reinforcement learning, generative AI, and agentic systems, with a particular focus on AI safety, security, orchestration, governance, AI Model Risk Management, and the testing and validation of complex AI workflows.
Professor Szpruch holds a number of advisory and standards-related roles. He is a member of the Bank of England and FCA AI Consortium, the FCA Academic Advisory Council, and the FCA Synthetic Data Expert Group. He also serves as an expert on AI and its impact on wholesale finance for the International Organization of Securities Commissions, is a founding member of the UK FinTech Academic Network, and sits on the Steering Committee of the NCER-FinTech project in Luxembourg. Most recently, he participated in an AI testing pilot with the AI Verify Foundation in Singapore.
His recent thought leadership includes: Move Fast without Breaking the Bank: Model Risk Management of GenAI Workflows; Insuring AI: Incentivizing Safe and Secure Deployment of AI Workflow; Towards Algorithm Auditing; Synthetic Data – What, Why and How?; and Making Generative AI Trustworthy and Reliable at Adoption Scale.
Tanveer Bhatti is a senior risk executive with more than 25 years of experience across JPMorgan Chase, Citi, and Revolut. He was formerly Global Head of Model Risk Management at Citi and Group Head of Model Risk at Revolut, where he established and led the firm’s model and AI risk function. His experience spans quantitative finance, market risk, model validation, AI governance, and the deployment of quantitative systems in large banks and fast-growing fintechs. He is also an independent member of the Bank of England AI Consortium.
Giovanni Beliossi is a systematic investment professional with over twenty-five years of experience across quantitative equity, multi-asset, and commodity strategies. He founded and led FGS Capital, a London systematic hedge fund platform, and held senior investment roles at First Quadrant, Auriel, Astarte Capital Partners, and, most recently, Axyon AI, a fintech in the AI prediction space, having begun his career building equity risk models at BARRA (now MSCI). He was instrumental in setting up IPM, the Swedish quantitative manager, and Impact-Cubed, the ESG analytics firm now owned by Euroclear. Giovanni co-chairs a Bank of England / FCA AI Consortium workshop on AI and systemic risk, serves on the IAQF board, teaches at Bologna Business School, and is a CFA charter holder.