As noted by the Bank for International Settlements, Supervisory Technology (SupTech) is a sub-set of Financial Technology (FinTech) that uses innovative technology to support supervision. It helps supervisory agencies to digitise reporting and regulatory processes, resulting in more efficient and proactive monitoring of risk and compliance at financial institutions. As observed by the TORONTOCENTRE, SupTech can be used to digitize, automate, streamline or transform operational and administrative procedures, increasing their level of standardisation and efficiency (TORONTOCENTRE, 2019).

Benefit include improved performance (e.g. reduced response times to requests and applications), reduced costs, and increased use of digital data utilising advanced data analytics software. SupTech represents the next generation of supervisory authority surveillance frameworks and tools that can massively increase supervisory authority efficiency and effectiveness.

The Supervisory Technologies training course has been specifically designed to provide attendees with highly comprehensive training covering all the latest developments in Supervisory Technologies (SupTech).

It is one of the most advanced SupTech training course on the market today. It adopts a highly unique approach in that it covers SupTech from multiple perspectives.

In the first session attendees will be instructed on all key definitions, ideas, and areas that govern SupTech and the use of Artificial Intelligence (AI) and machine learning. It will also cover the different types of machine learning, as well as introducing attendees to the latest developments covering the use of SupTech.

The second session will cover regulatory evolution, theoretical approaches to the adoption of Regulatory Technology (RegTech) by supervisory authorities, as well as a broad range of challenges and risks pertaining to the implementation and use of SupTech globally.

The third session will cover SupTech use cases relating to areas such as market surveillance, misconduct analysis, and microprudential supervision. Other areas covered include data analytics, data visualisation, and visual analytics.

Finally, the fourth session will cover eight practical operational case studies covering different uses of SupTech by different regulatory authorities around the world.

The case studies will allow attendees to understand the operational challenges and risks of implementing SupTech solutions as well as the significant benefits that such solutions offer global regulatory authorities.