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Disruptive Technology in the Financial Services
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Disruptive Technology in the Financial Services
  • Overview
  • Objectives & Outline
  • Methodology
  • Participant Profile
  • Trainer
  • Overview
    PROGRAMME DETAILS

    DATE

    26 September 2018

    TIME

    9:00 AM – 5:00 PM

    VENUE

    Asian Banking School
    7
    AICB
    CPD HOURS
    10
    SIDC
    CPE POINTS
    This 1-day programme has been developed for bankers to give them an overview of the technology developments (FinTech) and changes in the banking industry today. This will enable them to hold higher level conversations with clients and build better relationships. FinTech has brought innovation, speed, collaboration and disruption to the traditional, dominant pillars of banking and the financial services. Banks and other financial institutions that were previously seen as untouchable are now struggling to compete with start-ups that thrive on technological innovation, risk taking mindset, lean set-up and limited regulatory pressure. We investigate the disruption in the banking industry as payment settlements, credit intermediation and maturity transformation now face competition from the likes of PayPal, Facebook, Alibaba and Google Wallet. We discuss new on-line lenders, direct investing platforms, new FX execution systems, Blockchain, Bitcoin and many more FinTech innovations.

    The programme will help prepare participants for their three most common questions; “How is FinTech going to impact what we do?”, “What should we do to prepare for the disruption from FinTech companies?” and “How will FinTech innovations benefit my firm?”

    A key focus area will be on Blockchain. Blockchain has been called the biggest technology development since the internet, the fourth industrial revolution. We will look at the history and principles of Blockchain as well as the feasibility of distributed ledger technology within the banking and financial services industry.

    Further areas of focus will be on the disruptive technology landscape and technologies such as AI, Big Data & the Internet of Things (IoT).
    LEARNING LEVEL

    Intermediate

    PROGRAMME FEE

    AICB MEMBER

    MYR

    2,600

    / PAX

    NON-MEMBER

    MYR

    3,100

    / PAX

  • Objectives & Outline
    LEARNING OBJECTIVES
    By the end of the programme, participants will be able to:
    • Learn about FinTech trends and ecosystem
    • Gain a good understanding of the architecture and principles of Blockchain (DLT)
    • Study Blockchain technology use in the financial services industry
    • Understand the Disruptive Technology landscape and main trends
    • Learn about the principles of Artificial Intelligence (AI), Big Data and Internet of Things (IoT)
    • Gain knowledge on current regulations
    PROGRAMME OUTLINE
    FinTech Trends in 2018, FinTech Ecosystem and APIs and Clouds

    Understanding Bitcoin
    • Why Bitcoin was created
    • What is Cryptocurrency?
    • Current Bitcoin Ecosystem and Future Development
    • Bitcoin Forks
    Case Study – Cryptocurrency Investment and ICO

    Block Structure
    • Mining
    • Data storage in Blockchain and introduction to Hash
    • Connection between blocks

    Blockchain Network Structure
    • P2P network explained
    • The role of a Blockchain node
    • Explanation of Blockchain integrity and immutability

    The role of consensus in Blockchain
    • Proof of work
    • Proof of state
    • PBFT consensus
    • Advantages and disadvantages of each algorithm

    Security
    • Permissioned and public networks
    • Private key management
    • Identity on Blockchain and best practices
    Case Study – Swift’s the KYC Book

    Smart Contracts
    • Definition of smart contract
    • Existing technologies
    • Limitations and future developments

    Blockchain Applications and Major Platforms
    • Bitcoin, Ripple and Ethereum
    • Consortiums
    • Financial and non-financial use cases
    Case Study – Project Ubin

    The Landscape and Trends
    • Looking into payments
    • Digitalization of retail banking
    • What next for wealth management?
    • Trends in commercial banking
    • Introduction to RegTech
    • Insurance is the next big thing
    • How non-financial institutions are challenging traditional players

    Technologies Overview and Applications
    • Artificial Intelligence (AI)
      • Defining AI
      • Different types of AI
      • Areas of implementation in financial services
    • Data Science
      • Defining data sciences
      • Evolution of data science in the era of endless data streams
      • Overview of Big Data use cases for financial services
    • Internet of Things (IoT)
      • Definition of loT
      • Evolution of the technology
      • Trends and practical implication for the financial services industry
    Case Study – Factor Investment and Sherpa Technologies Machine Learning
  • Methodology

    Instructor led facilitation using video based learning, case study discussions, quiz, game and exercises

  • Participant Profile
    Banking, financial services, and FinTech professionals
  • Trainer

    Peter Carpenter

    Peter Carpenter (Pete) has 34 years of financial markets experience with major banks in Singapore, London, Hong Kong, and Stockholm; where he has traded FX, FX Options, Interest Rates and Derivatives, Equities and Equity Derivatives, Fixed Income and Money Market products. He has set up and managed numerous trading teams and in his last role was Regional Treasurer and Head of Capital Markets in Singapore. He is experienced in Risk and Compliance in Asia.
    Through his various roles, Pete has gained deep experience in most aspects of financial products including market making, proprietary risk, sales, advisory and treasury management. He has trained many traders and held courses for staff and clients. He has experienced many extreme crisis situations, both within his institutions and market wide, where he has had to exhibit deft crisis management and deal with and manage regulators and institutions. He has spent 23 years working in Asia and is experienced in managing situations caused by cultural differences. He has managed teams in other continents remotely

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