FINTECH
WEALTHTECH
About Module X
Module X introduces WealthTech and the digital transformation of investing and portfolio management. Learners explore asset classes, investment platforms, social trading, robo-advisors, automated portfolios, gamification and behavioural bias. The module also addresses regulatory, ethical and sustainability considerations, helping participants understand how technology changes access, advice, decision-making and compliance in modern wealth management.
What You Will Learn
After the end of Module I, you will be able to:
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Knowledge 6
Understand core personal-finance and investing concepts and apply them to WealthTech platforms.
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Knowledge 6
Compare and evaluate the four WealthTech entity types (Investment Networks · Robo-Advisors · Automated Portfolio Management · Trading Platforms) and recognise the platforms in each segment.
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Skill 6
Apply diversification to build resilient WealthTech portfolios and recognise digital-investing pitfalls (herd behaviour, gamification biases).
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Skill 6
Evaluate the EU regulatory framework (MiFID II + RIS, GDPR, DORA, AI Act, MiCA) applicable to WealthTech platforms and the obligations it imposes.
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Responsibility & Autonomy 6
Design a future-ready WealthTech investor journey integrating hybrid advisory, hyper-personalisation, sustainability and emerging technologies.
CROSS-MODULE COORDINATION
Module X is self-contained but coordinated. It applies foundations developed elsewhere instead of re-deriving them:
- Module I – finance fundamentals. Time Value of Money and compounding (LT 2); return, risk, liquidity and diversification (LT 3); Portfolio Theory, CAPM and Behavioural Finance (LT 1 – Milestones, Lesson 1.4, and Lesson 1.5); ESG as a challenge in finance (LT 1, Lesson 1.3).
- Module II – FinTech ecosystem. The seven verticals, of which WealthTech is one (LT 2, Lesson 2.2); enabling technologies – cloud, APIs, AI, blockchain (Lesson 1.2); the three phases of FinTech evolution and the 2008 catalyst (Lesson 1.3).
- Module III – EU regulatory framework (primary reference). MiFID II + RIS and investor protection; GDPR (LT 4); AML / KYC (LT 5); MiCA (LT 6); DORA and the AI Act (LT 7). Module X applies these to WealthTech scenarios.
- Module IV – AI / Data Science (practitioner’s lens). Big Data and cloud (LT 2); Machine Learning (LT 3); Responsible AI, AI Act and Explainable AI / XAI (LT 9). Underpins robo-advisory and APM.
- Module V – Blockchain & Crypto. Tokenisation and smart contracts (LT 4); crypto-asset regulation and MiCA / CASP authorisation (LT 8). Referenced where WealthTech meets tokenisation or crypto custody.
- Module VI – Cybersecurity. Data protection (LT 5); digital identity and biometrics / eIDAS onboarding (LT 4); incident response and DORA operational resilience (LT 7).
Contents
- 6 Learning Topics
- 27 lessons
Learning Topic 1: Investment Foundations and the WealthTech Ecosystem
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LESSON 1.1 – The Four Asset Classes through the WealthTech Lens [Intermediate]
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LESSON 1.2 – Defining WealthTech and Its Four Entity Types [Intermediate]
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LESSON 1.3 – WealthTech Drivers, Inclusion and Scale [Intermediate]
Learning Topic 2: Investment Networks and Marketplaces
Learning Topic 3: Algorithm-Driven Wealth Management – Robo-Advisory and APM
Learning Topic 4: Trading Platforms and the Self-Directed Investor
Learning Topic 5: Regulation and Sustainability in WealthTech
Capstone Topic: WealthTech 2030 – Designing the Future Investor Journey
References and Final Assessment
Download MODULE X
Disclaimer. Material for Educational Purpose Only
The content on this platform is provided solely for educational and informational purposes and does not constitute financial, investment, legal, or tax advice. We do not recommend or endorse any specific cryptocurrency, financial product, or investment strategy. Cryptocurrencies are volatile and high-risk assets, and any investment decision is made at the user’s own responsibility. Users should seek advice from a qualified financial advisor before making financial decisions.
