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About the course

This program offers a thorough, yet non-technical exposition of the important concepts associated with the FinTech phenomenon and the implications for the future of financial intermediation, banking, regulation and currencies. It is comprised of four modules covering Electronic Trading, Marketplace Lending, Big Data, and Cryptocurrencies and Blockchain

CURRICULUM

Day 1

INTRODUCTION

  • Overview of current disruptive technologies
  • Impact and maturity assessment
  • The evolution of software engineering
  • Back to Top

MODULE 1: RISE OF THE ROBOTS

  • Electronic Trading
  • Evolution of High Frequency Trading
  • High Frequency Strategies
  • Trading Mechanisms, Markets and Market Making
  • Further Discussions on Microstructure
  • Alpha Design
  • Robo-advising
  • Definitions
  • Market analysis
  • Investment Strategies

MODULE 2: MARKETPLACE LENDING

  • Origins and Evolution
  • Disintermediation
  • Traditional banking and FinTech innovations
  • Online lending ecosystems
  • Originators
  • Service Providers
  • Investors
  • Leverage Providers
  • Regulators
  • Major verticals
  • Unsecured Consumer Loans
  • Student Loans
  • SME Loans
  • Auto Loans
  • Real Estate Loans
  • Emerging Verticals (e.g. Solar)
  • Investing in Marketplace Lending loans
  • Whole Loan
  • Securitized Products
  • Retail Investing
  • International Perspectives
  • China
  • Asia Ex-China
  • Europe
  • Latin America

MODULE 3: BIG DATA

  • History and Enablers of Big Data
  • Increasing storage capacity
  • Increasing processing power
  • Availability of data
  • The era of algorithms and distributed computing
  • Data Science
  • Data Scientist: A new role within the corporation
  • Classical data analysis vs. data science
  • Data Science research process
  • Machine Learning
  • Regression and classification (supervised learning)
  • Clustering and factor analysis (unsupervised learning)
  • Deep Learning and AI
  • Applications to Finance
  • Portfolio Management
  • Credit scoring
  • Advanced Analytics for client management
  • Alternative Data
  • Social Media Data
  • Sentiment
  • Data from Sensors
  • Geo-location
  • Satellite imaging
  • Search Data
  • News API Services

MODULE 4: CRYPTOCURRENCIES & BLOCKCHAIN

  • Cryptocurrency Landscape
  • Cryptocurrency History
  • Introducing Bitcoin
  • Mechanics of Bitcoin
  • Current Concerns of Cryptocurrencies
  • Overview of Risk
  • Technology
  • Legal
  • Regulatory
  • Reputation Risk
  • Controversy
  • Cryptocurrency Ecosystem
  • Introduction
  • Initial Coin Offering
  • Diverse Array of cryptocurrencies
  • Exchanges
  • Cryptocurrency as An Asset Class
  • Overview
  • Statistical Facts
  • Distributed-Ledger Protocols
  • Mechanics of Blockchain
  • Public Chains
  • Private Chains

CONCLUSION: THE FUTURE OF FINTECH

WHAT YOU'LL LEARN

  • Understand the principle differences between classical data analysis and modern data science.
  • Understand the implications of electronic/algorithmic trading for price discovery and the structure of markets for financial instruments.
  • Appreciate the computational advances and the explosion of data (big data) that have enabled marketplace lending and other modes of financial services disintermediation.
  • Understand the mechanics of distributed ledgers and consider the long-term feasibility of digital currencies from a technological and regulatory perspective.

Who should attend

  • Senior managers responsible for corporate policy and strategic initiatives
  • central bank
  • personnel regulators

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