INTRODUCTION
Financial Technology 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. This programme will consider how information is used by FinTech firms to build insights and influence consumer behaviour.
Fintech Innovation: Disrupting the Financial Landscape course will provide you 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.
OBJECTIVES
At the end of this Fintech Innovation: Disrupting the Financial Landscape training programme, you will be able to:
Articulate the changing roles in the finance industry
Identify the problems of imperfect information, asymmetric information and behavioural biases
Analyse various technologies used to address information problems.
Discover how digitisation is evolving the financial sector.
Learn how technologies like AI, data analytics and blockchain can help improve financial services and enhance revenue and profits.
Analyse how various financial technologies are being used to address information problems in the financial services industry.
WHO SHOULD ATTEND ?
Financial Technology Innovation: Disrupting the Financial Landscape training course, is ideal for :
Mid- to senior-level banking and finance professionals
CXOs of FinTech startups, Trading strategists
Consultants, Compliance/regulatory professionals.
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 Advisor, Algorithmic Trader
FinTech Advisor, FinTech Consultant
Associate FinTech Consultant, FinTech Strategic Advisor, VP/Audit & Compliance
Compliance Manager, Risk Manager, Audit Manager
COURSE OUTLINE
Day 1
Digital Transformation in Financial Services
Examine the transformation of financial services and the changing roles of financial intermediaries. Discover the disruptive technological forces that are driving financial innovation and review examples of alternative lending.
Day 2
Big Data & AI in Financial Services
Gain a better understanding of big data and imperfect information as well as data analytics and its applications in finance. Learn about AI in finance and identify opportunities where AI can have an impact, including insurance and investment.
Smart Contracts & Blockchain
Explore the evolution of trust in financial technology and the types of technology that enable trust (without knowing your counterparty). Get more information on topics including distributed ledger, blockchain cryptography, hashing, mining and smart contracts.
Day 3
Asymmetric Information & Risk Valuation
Learn about asymmetric information and its two principal problems: moral hazard and adverse selection. Then get an introduction to credit risk, review companies using financial technology to reduce their risks, and understand the five Cs of credit, credit risk valuation and factors that predict risk.
Day 4
Behavioural Biases & Nudge Solutions
Delve into behavioural biases including loss aversion, mental accounting and reference points and their impact on financial decision-making. Then broaden your knowledge of advising using behavioural bias data and nudge solutions for tax and fiscal policy.
Day 5
Governance, Privacy and Discrimination Concerns with Data and Future of FinTech
Examine the problem of poor data and algorithms, see how companies are using data to influence customer behaviour, and dive further into topics including discrimination, data monitoring and social credit systems. Finally, consider the future of financial innovations, from how data is used to the impact of AI.
