Navigating the Future of Finance in the Era of AI and FinTech
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Navigating the Future of Finance in the Era of AI and FinTech

Join us for a discussion on the transformative impact, opportunities, challenges, and regulatory landscape of AI and FinTech.

By Auckland Centre for Financial Research

Date and time

Tuesday, June 17 · 12:30 - 7pm NZST

Location

55 Wellesley Street East

55 Wellesley Street East Auckland, Auckland 1010 New Zealand

About this event

  • Event lasts 6 hours 30 minutes

2025 New Zealand Capital Markets Symposium


Navigating the Future of Finance in the Era of AI and FinTech

  • Date & Time: Tuesday, 17 June 2025, 12:30 pm - 7:00 pm
  • Location: Auckland University of Technology (AUT) City Campus, 55 Wellesley Street East, Auckland


The 9th New Zealand Capital Market Symposium, hosted by the Auckland Centre for Financial Research (ACFR), brings together leading finance industry experts and academics to discuss the critical role of AI and FinTech in the financial sector. This year’s Symposium explores the transformative impact, opportunities, challenges, and regulatory landscape of artificial intelligence (AI) and financial technology (FinTech) within the context of New Zealand capital markets. Join us for insightful presentations from distinguished speakers and engaging discussions, offering practical solutions for today’s market challenges.


Speakers

  • Helen Lu, Associate Professor of Accounting and AI, Vlerick Business School, Belgium
  • Daniel Trinder, Executive Director of Strategy and Design, Financial Markets Authority (FMA) New Zealand
  • Kathryn Kerner, Head of Data Analytics, NZ Super Fund
  • Andrew Dentice, Co-Chair of Fintech NZ, Technology Lawyer, Partner at Hudson Gavin Martin
  • David Kandziora, Board Chair, CFA Society New Zealand
  • Aaron Gilbert, Professor of Finance, Auckland University of Technology

This event is FREE to attend, but registration is required. Spaces are limited, register today. Registration will close on 10 June 2025.

Contact Information: acfr@aut.ac.nz


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