FinTech Innovation: Disrupting the Financial Landscape Course

Course Overview:

The Fintech Innovation: Disrupting the Financial Landscape training program offers the students the insights into how technology is changing the way the financial services are being offered.

There will be an evaluation portion that happens at the end of the course where learners will be able to evaluate how problems such as information asymmetries and financial service provision are addressed by AI, big data, blockchain applications and smart contracts.

The program contains evaluation of the influence of the digital world on the daily activities of a conventional finance professional and comments on the impact and profitability of such fintech tendencies as alternative funding, data mining and machine learning. Other themes of the course are asymmetric information, risk valuation, behavioral finance and governance, privacy and discrimination, and many more ethical aspects.

This course is suitable for senior level finance professionals, fintech advisors and business executives of start up companies and will be instrumental in providing the understanding on how one can use the recent developments to remain ahead in the competitive finance industry.

Course Objectives:

At the end of this  Fintech Innovation: Disrupting the Financial Landscape training  program, you will be able to:

• Articulate the changing roles in the finance industry
• Identify the problems of imperfect information, asymmetric information, and behavioral biases
• Analyze various technologies used to address information problems.
• Discover how digitization is evolving the financial sector.
• Learn how technologies like AI, data analytics, and blockchain can help improve financial services and enhance revenue and profits.
• Analyze 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 Outlines:

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.

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.

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.

Behavioral Biases & Nudge Solutions

• Delve into behavioral biases—including loss aversion, mental accounting, and reference points—and their impact on financial decision-making. Then broaden your knowledge of advising using behavioral bias data and nudge solutions for tax and fiscal policy.

Governance, Privacy, and Discrimination Concerns with Data and the Future of FinTech

• Examine the problem of poor data and algorithms, see how companies are using data to influence customer behavior 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.

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