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QuantMinds International
16 - 19 November 2026
InterContinental O2London

Liam Hynes
Global Head of New Product Development - Public Markets at S&P Global Market Intelligence
Speaker

Profile

Liam Hynes serves as the Global Head of New Product Development. In this role, he leads strategic product innovation, driving the development of cutting-edge research & solutions across the firm’s extensive data and analytics platforms. His work spans the entire solution life cycle from proof-of-concept development, business assessment, beta client engagement, blueprint creation, product development, go-to-market strategies and commercialisation. Under Liam’s leadership, the team has delivered impactful research such as Questioning the Answers, blueprint solutions such as QTA & Ripple Effect and product launches with CCDE.

Before assuming his current role, Liam served as Head of ESG & Quant Specialists, EMEA, advising S&P clients on quantitative modelling, climate risk assessments, and alternative data integration. Prior to S&P Global, he was Founding Partner & Portfolio Manager at Monreith Capital LLP, managing a Global Financials Hedge Fund. He also held senior investment roles at Liontrust Asset Management and Occam Assest Management, focusing on emerging markets and commodities.

Liam holds a PhD in AI & Finance from Kemmy Business School, where his research covers natural language processing, network theory, and AI-driven executive sentiment & behavioural analysis. He has also earned a BSc (Hons) in Mathematics from the University of Limerick and holds a Machine Learning certification from Stanford University. Liam is a member of the Editorial Advisory Board for the Journal of Financial Data Science, a leading publication covering AI, Machine Learning and Data Science applied to Investment Management.

Areas of Expertise:

  • AI & Natural Language Processing in Finance
  • Quantitative Multi-Asset Research & Strategies
  • Alternative Data & Investment Strategies
  • ESG Integration & Climate Risk Analytics
  • Private Markets & Network Analytics

Agenda Sessions

  • The AI credit analyst

    11:50