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.