Level 2: Advanced Training in Solutions Design

Learning outcome: understand the level of competency expected from corporate and government organisations and what are marketable skills for fintech.
Topics include: application areas of fintech, such as in credit defaults, housing prices, and other applications of regression; cross-border initiatives and trade finance; related fields such as insurtech, regtech, govtech, lawtech, and examples of current government initiatives.

Learning outcome: understand the history and progress of identity, especially into the digital age; introduction to privacy regulations and technologies.
Topics include: data, metadata, and differential privacy; data is the new oil and risk of data breaches; digital identity standards, privacy regulations, verifiable credentials, digital wallets; introduction to KYC and e-Estonia, Aadhaar, iAM Smart, HKMA Corporate Identity.

Learning outcome: understand the ethical elements of finance, emerging technologies, and fintech.
Topics include: critical examination of artificial intelligence (especially machine learning) blockchain, cryptocurrencies, and data sciences; explore regulatory technology (regtech) oversight and supervision reduces compliance-related costs; understand evolution of payment and financing solutions, their impact on markets, and potential ethical considerations; cybersecurity & cybercrimes; centralization vs decentralization.

Learning outcome: understand the history and progression of data regulations, especially in privacy.
Topics include: cybersecurity, cybercrime, and data breaches; data, metadata, and differential privacy; European regulations, such as PSD2, Mifid2, GDPR; open-banking APIs; trust frameworks from Canada and New Zealand; blockchain governance in-depth; regulatory sandboxes.

Learning outcome: understand why a solution works or does not work.
Topics include: role of cryptography in fintech applications; role of AI and machine learning in fintech solution design; role of blockchain in fintech; verifiable credentials and trust frameworks.

Learning outcome: understand in-depth why a solution works or does not work.
Topics include: iAM Smart, Corporate Identity, CDI, CBDC, Mediflow, eBRAM.

This tutorial session is for students to ask the training team about any topics covered during the Level 2 basic training regimen. Guest speakers may participate in these sessions.

Training Timetable

All the core courses and tutorials will be held Tuesdays and Fridays at 7pm HKT. Instructors may stay behind to answer additional questions. Although most courses finish in 2 hours, some courses may run overtime.