RegTech Summit New York
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Registration & networking with sponsors
Opening and Welcome
Andrew Delaney, President and Chief Content Officer, A-Team Group
Regulator Keynote: A Regulator’s perspective on AI
Haimera Workie, Vice President and Head of Financial Innovation, FINRA – Office of Financial Innovation
Panel: How to leverage Generative AI and Large Language Models (LLMs) for regulatory compliance
Iro Tasitisiomi, Head of investments Data Science, T.Rowe Price
Erin Preston, CCO, Wedbush Securities and Asset Management
Vall Herard, CEO, Saifr
Keynote: Smarsh
Networking break with sponsors
Panel: Adopting a holistic approach to regulatory change management
Panel: Best practice approaches to data management for streamlined regulatory reporting
Moderator: Ken Lamar, Principal Partner, Lamar Associates LLC
Cheryl Benoit, Executive Director-Operational Risk, Mizuho
Keynote speaker
Lunch and networking with sponsors
Panel: Communication surveillance: what’s new, what’s changed, why’s this still broken?
Stan Yakoff, RegTech Advisor and Law Professor
Panel: How to build a flexible and agile reporting platform to meet future requirements
Josh Beaton, Head of Non-Financial Regulatory Reporting (NFRR), Wells Fargo
Keynote: The future of post trade – Next steps after T+1
Afternoon break and networking with sponsors
Keynote: Managing regulatory expectations and best practices for fighting financial crime
Panel: Addressing financial crime and AML with RegTech
Krishna Nair, Head of AML, KYC, Electronic Communication, Trade Compliance Technologies MUFG
Kai Schrimpf, Head of Monitoring and Screening Controls, Morgan Stanley
Awards
Networking drinks
Ends
Now in its 8th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.
The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.