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Magnus Haglind
Head of Capital Markets Technology
Nasdaq
Magnus Haglind is Head of Capital Markets Technology at Nasdaq. He is responsible for roadmap and product portfolio management of a broad suite of mission critical market infrastructure solutions provided to capital markets. Magnus has held various roles in the exchange industry in the confluence of business management, technology, and operations, and he has extensive experience derived from many markets and regulatory regimes around the world.
Before joining Marketplace Technology, he worked in the Global Transaction and Market Services division of Nasdaq where he, among other roles, served as Head of Global Commodities, and CEO of Nasdaq Futures.
He holds a Ph.D. in Industrial Information Systems, and a M.Sc. in Electrical Engineering from the Royal Institute of Technology, Stockholm, Sweden.
Speaking at SFF 2026
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10:50–11:25amThu 19 NovFestival StageHall 1, Singapore EXPOPremium
Technology Rewiring
From Intelligence to Action: The New Architecture of Competitive Advantage
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Leong Yung CheeGroup Chief Financial OfficerUOB
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Richard PuVice PresidentTencent
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Richard WormaldPresident, Asia PacificMastercard
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Magnus HaglindHead of Capital Markets TechnologyNasdaq
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Ronit GhoseIndustry Fellow - Centre for Finance, Technology & RegulationCambridge Judge Business SchoolModerator
About this session
AI is moving beyond generating insights and assisting decisions to taking action — planning, coordinating and executing increasingly complex workflows. This shift towards agentic AI has implications far beyond technology, challenging the operating models, organisational structures and assumptions through which businesses have traditionally competed. As intelligence becomes more accessible, competitive advantage may depend less on who has the best AI and more on who can redesign their organisation, infrastructure and decision-making to turn intelligence into outcomes at scale. This session explores how agentic AI is reshaping the architecture of business from the systems that connect people, data and machines to the operating models that enable speed, adaptability and differentiation. In a world where AI can act, what will separate the leaders from the laggards and where will tomorrow’s competitive advantage really reside?
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