FinTech innovators understand that banks, lenders, wealth managers and insurance companies are now in the business of information exchange management. These financial intermediaries are using customer and market condition data to improve the quality, speed and price at which value is delivered.
Data trading can have its dark side, as regulators work to keep pace with revolutionary disruption. Innovators who exchange and consume customer information to profit both their organisations and their clientele can make FinTech a force for good.
We will consider how information is used by FinTech firms to build insights and influence consumer behaviour:
With 1 in 4 adults in the U.K. feeling financially squeezed, FinTech firms are using behavioural data to guide customers to better financial decisions, such as apps that auto-escalate debt repayments in line with pay rises.
SOURCE: The Behavioural Insights Team
The next best action (NBA) or intelligent nudge delivers results, helping 44% of participants in a London-based AI retirement solutions platform to increase their savings contributions.
SOURCE: Financial Advisor
This programme delivers value by providing participants with a broad view of FinTech and an understanding of the influence of technology on the ways data is used, misused, leveraged and shared by financial intermediaries. At the end of this six-week programme, you will be able to:
This programme provides participants with a strategic overview of FinTech; an understanding of the impact of technological advancements such as big data, AI and blockchain; and a deeper knowledge of how technology can address information problems. Participants who will benefit most include:
Representative roles include:
*For more information on the syllabus, download the brochure.
Participants should expect to devote 4-6 hours per week to the programme, including faculty lectures, activities and assigned readings.
Why has the volume of financial innovation exploded? This module explains the traditional roles of banks, the changing roles of financial intermediaries, the shift of information access from banks to the individual and the three main information problems that impact financial services.
What are the ways in which technology effectively addresses the problem of imperfect information? We will explain big data’s role in the shift of information access and illustrate ways AI creates opportunities to improve revenue and profits.
What happens to trust when you don’t know your counterparty? We will illustrate how blockchain and smart contracts enable trust even in anonymity. We analyse the current and future uses of blockchain and explain how smart contracts are changing customers, services and industries.
In this module, we explore two problems of asymmetric information: moral hazard and adverse selection and the ways technology mitigates these problems. We examine the application of signalling and screening on asymmetric information problems and analyse how interest rates and lending platforms are used to address asymmetric information.
Identify ways technology effectively addresses behavioural biases and explores the impact of behavioural biases on decision making. Examine how nudge solutions impact consumer behaviour and determine the ideal investment portfolios using machine learning algorithms.
Analyse the governance, privacy concerns and risks related to financial innovation. Illustrate ways technology effectively addresses the problem of externalities and discuss the future of financial innovation.
Why would Chinese citizens sign up to have an algorithm score how valuable they are as a human being?
Discover how the competitive landscape has changed for financial services firms like Wells Fargo.
Explore how organisations like Kiva provide funding for the unbanked.
Discover how the largest crowdfunding in history; the DAO, raised over $150m only to fail due to a recursive call bug.
Designed to reinforce the key concepts, the assignments in this programme prompt participants to brainstorm, discuss and reflect on the content. These non-graded activities are interspersed between the online videos.
Where two or three goliath banks once served, hundreds of FinTech startups now compete for customers. Their currency exchange is not simply pounds, dollars or euros: it’s information. What are these startups doing more successfully when it comes to using consumer information? They focus on only one small part of the financial puzzle to fulfill the need of a customer whose habits, spending, income, debt and interests they know well. In this programme, we will consider this information imperative for intermediaries who thrive on the savvy use of consumer data. This covers cryptocurrency networks, crowdfunding, peer-to-peer lending platforms, payment systems, wealth advisory services and foreign exchange payment systems. We will explore FinTech innovators’ methods, risks and rewards as they leverage data and build AI, cloud and machine learning solutions for information and financial services problems.
Professor Rau is the Sir Evelyn de Rothschild Professor of Finance at Cambridge Judge Business School. He is also past president of the European Finance Association and a past editor of Financial Management.More Info
Upon successful completion of the programme, participants will be awarded a digital Certificate of Completion by Cambridge Judge Business School Executive Education.Get Certified
Note: After successful completion of the online programme, your verified digital certificate will be emailed to you in the name you used when registering for the programme. All certificate images are for illustrative purposes only and may be subject to change at the discretion of Cambridge Judge Business School.