International Leadership Program for Securities Supervisors

Supervising in an increasingly fragile world.

Not open for registration. Contact Us for more info.
Online, Zoom
Jul 29th - Aug 02nd, 2024
08:30AM - 12:30PM

(Timezone: EDT)

Eastern Daylight Time UTC - 4

Richa Goyal

Program Director

It's too late to register for this Event.

Program Description

Enhance your supervision skills and gain new insights to address the challenges of supervising the securities sector in an increasingly fragile world.

Using real-world case studies, led by experts in securities and financial sector supervision, you will deepen your understanding of how to address emerging issues.

This intensive program covers Toronto Centre’s hallmark training on leadership skills, action planning, and stakeholder communication, to equip you to drive continuous improvement. 

Program Agenda

Download document

The agenda for this program is available for download. 

PROGRAM FEE

The early bird fee is USD 950 for participants from ODA countries who register for this program before April 12, 2024. The fee for non-ODA country individuals is USD 1500.

REQUIRED PRE-READING

Pre-reading will be required. Materials will be sent out to registered participants at least two weeks before the program starts.

REGISTRATION

Registration for this program starts March 2024. 

Who Should Attend

WHO SHOULD ATTEND?

The program is designed for mid- to senior-level staff and managers involved in regulation and supervision of the securities sector. Participants should have at least three years of working experience in supervision, or analytical or policy experience in the securities sector, and be proficient in English.

Topics Covered
  • Financial crime prevention
  • Surveillance and investigation approaches
  • Cyber risk
  • Artificial intelligence and SupTech
  • Climate-related disclosures
Partners
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Supervision of Money Laundering and Terrorist Financing - Revised 2020

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Supervision of Cyber Risk

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Supervisory Implications of Artificial Intelligence and Machine Learning

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