Discover why now is the optimal time to delve into the study of FinTech. FinTech solutions are revolutionizing the financial services sector with cutting-edge technologies such as artificial intelligence and blockchain. In 2020, global FinTech transformation and venture capital investment soared to $105 billion, reaching $4.1 billion in the UK—the second-highest in Europe, surpassed only by the US.

Adapting to the rapid growth and dynamic innovations in FinTech demands flexibility, perseverance, and risk tolerance. Our program is meticulously crafted to furnish you and your company with the knowledge and expertise essential for staying abreast of these changes. It aims to help you capitalize on FinTech opportunities while mitigating risks.

Here are key insights:

• $22.6 Billion: The value of AI technology in FinTech is projected to reach $22.6 billion by 2025, demonstrating a Compound Annual Growth Rate (CAGR) of 23.37% (Source: Research and Markets).
• $27 Billion: Blockchain deployments are anticipated to contribute to bank savings of up to $27 billion by 2030, translating to a cost reduction exceeding 11% (Source: Juniper Research).

Key Takeaways from the Program: This six-week program offers a comprehensive understanding of FinTech, elucidating how technology is reshaping the utilization, misutilization, leveraging, and sharing of data by financial intermediaries. Throughout the course, you will:

• Explore the evolution of the financial sector through digitization.
• Learn how technologies like AI, data analytics, and blockchain enhance financial services, boosting revenue and profits.
• Analyze the application of various financial technologies in addressing information challenges within the financial services industry.

Who Should Attend: This program is designed for participants seeking a strategic overview of FinTech and aiming to comprehend the impact of technological advancements such as big data, AI, and blockchain. Those who will derive the most benefit include:

• Mid- to senior-level banking and finance professionals.
• CXOs of FinTech startups.
• Trading strategists.
• Consultants.
• Compliance/regulatory professionals.

Representative Roles Include: Finance Director, VP of Finance, Financial Planning Manager, Finance Manager, Financial Analyst, Credit Analyst, Economist, Management Accountant, Investor, Startup Managing Partner, Startup Founding Partner, Startup CEO, Startup CFO, Fund Manager, Investment Director, Investment Strategist, Portfolio Manager, Asset Manager, Venture Capitalist, Financial Adviser, Algorithmic Trader, FinTech Adviser, FinTech Consultant, Associate FinTech Consultant, FinTech Strategic Adviser, VP/Audit & Compliance, Compliance Manager, Risk Manager, Audit Manager.

Program Syllabus: Participants are expected to dedicate 4–6 hours per week to the program, engaging in faculty lectures, activities, and assigned readings. The syllabus covers the following modules:

1. Digital Transformation in Financial Services: Explore the evolution of financial services, changing roles of financial intermediaries, and disruptive technological forces driving financial innovation.
2. Big Data & AI in Financial Services: Gain insights into big data, imperfect information, data analytics applications in finance, and the impact of AI in sectors like insurance and investment.
3. Smart Contracts & Blockchain: Delve into the evolution of trust in financial technology, technologies enabling trust, and topics such as distributed ledger, blockchain cryptography, hashing, mining, and smart contracts.
4. Asymmetric Information & Risk Valuation: Learn about asymmetric information, its problems (moral hazard and adverse selection), credit risk, and how financial technology is used to reduce risks.
5. Behavioural Biases & Nudge Solutions: Explore behavioural biases, their impact on financial decision-making, and advising using behavioural bias data. Learn about nudge solutions for tax and fiscal policy.
6. Governance, Privacy, and Discrimination Concerns with Data and Future of FinTech: Examine issues like poor data and algorithms, data influence on customer behavior, discrimination, data monitoring, social credit systems, and contemplate the future of financial innovations, encompassing the use of data and the impact of AI.