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FinTech Technologies

Siu Ming Yiu

What is this course about?

In this course, we will look at the advanced technologies that are driving FinTech forward.

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What is this course about?

In this course, we will look at the advanced technologies that are driving FinTech forward.

FinTech is not only a major strategic focus in the banking and finance industry around the world. The fast-moving FinTech technologies also create opportunities and pose challenges to global financial institutions, large tech giants, techfins, retailers and other global companies and the legal and compliance sectors. Besides technology innovations and R&D in FinTech, nurturing FinTech talents and attracting students and professionals to the FinTech arena is very important.

In this MOOC, we will discuss six advanced technologies that drive transformation in the finance and technology industries today from a layman’s perspective. The contents will focus on how these technologies are used in FinTech applications including, artificial intelligence (AI), machine learning (ML), natural language processing (NLP) and big data analytics in daily scenarios such as insurtech, robo-advisory, intelligent transport monitoring, applications in green finance, as well as, blockchain and distributed ledger technology in banking and DeFi. The course will also discuss the technologies and practical impacts of the much talked about Central Bank Digital Currencies (CBDCs) and cyber security. And last but not least, we will learn about the critical roles of RegTech and SupTech in strengthening compliance and enhancing the efficiencies of financial institutions in the FinTech ecosystem.

What's inside

Learning objectives

  • After completing this course the learner will be able to:
  • Identify and describe the key driving technologies of fintech
  • Understand how ai and machine learning works
  • Articulate and discuss fintech applications including artificial intelligence (ai), machine learning (ml), natural language processing (nlp) and big data analytics in daily scenarios
  • Understand and describe the application of blockchain and distributed ledger technology in banking and digital finance
  • Appraise the importance of data privacy and cyber security
  • Recognise the importance of regtech in the fintech ecosystem

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers key topics in FinTech, including artificial intelligence, machine learning, natural language processing, and big data
Taught by industry experts and researchers in the field of FinTech
Provides practical examples and case studies to illustrate the application of these technologies in FinTech
Suitable for individuals with a background in finance, technology, or business who are interested in exploring the intersection of these fields
Provides insights into the latest trends and developments in FinTech, including Central Bank Digital Currencies (CBDCs) and cyber security

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Activities

Coming soon We're preparing activities for FinTech Technologies. These are activities you can do either before, during, or after a course.

Career center

Learners who complete FinTech Technologies will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst is a professional who collects, processes, and analyzes data to identify trends and patterns. This course can provide you with the skills you need to succeed in this role, as it will teach you how to use AI, machine learning, and big data analytics to make sense of large and complex datasets. This course can help you develop the skills you need to succeed in this role, as it will show you how to use these technologies to identify trends and patterns in data, and to make predictions about future events. With this knowledge, you will be able to make informed decisions about how to improve business operations and customer experiences.
Financial Analyst
A Financial Analyst is a professional who analyzes financial data to make recommendations about investments. This course can provide you with the skills you need to succeed in this role, as it will teach you how to use AI, machine learning, and big data analytics to make sense of large and complex datasets. This course can help you develop the skills you need to succeed in this role, as it will show you how to use these technologies to analyze financial data and make recommendations about investments.
Machine Learning Engineer
A Machine Learning Engineer is a professional who designs and develops machine learning models. This course can provide you with the skills you need to succeed in this role, as it will teach you how to use AI, machine learning, and big data analytics to make sense of large and complex datasets. This course can help you develop the skills you need to succeed in this role, as it will show you how to use these technologies to design and develop machine learning models.
Data Scientist
A Data Scientist is a professional who uses data to solve business problems. This course can provide you with the skills you need to succeed in this role, as it will teach you how to use AI, machine learning, and big data analytics to make sense of large and complex datasets. This course can help you develop the skills you need to succeed in this role, as it will show you how to use these technologies to solve business problems.
Software Engineer
A Software Engineer is a professional who designs, develops, and maintains software applications. This course can provide you with the skills you need to succeed in this role, as it will teach you how to use AI, machine learning, and big data analytics to make sense of large and complex datasets. This course can help you develop the skills you need to succeed in this role, as it will show you how to use these technologies to design, develop, and maintain software applications.
Blockchain Developer
A Blockchain Developer is a professional who develops blockchain applications. This course can provide you with the skills you need to succeed in this role, as it will teach you how to use blockchain and distributed ledger technology to create secure and transparent applications. This course can help you develop the skills you need to succeed in this role, as it will show you how to use these technologies to develop blockchain applications.
Cybersecurity Analyst
A Cybersecurity Analyst is a professional who protects computer systems and networks from cyberattacks. This course can provide you with the skills you need to succeed in this role, as it will teach you how to use AI, machine learning, and big data analytics to detect and prevent cyberattacks. This course can help you develop the skills you need to succeed in this role, as it will show you how to use these technologies to detect and prevent cyberattacks.
Risk Manager
A Risk Manager is a professional who identifies and manages risks. This course can provide you with the skills you need to succeed in this role, as it will teach you how to use AI, machine learning, and big data analytics to identify and manage risks. This course can help you develop the skills you need to succeed in this role, as it will show you how to use these technologies to identify and manage risks.
Auditor
An Auditor is a professional who examines financial records to ensure accuracy and compliance. This course can provide you with the skills you need to succeed in this role, as it will teach you how to use AI, machine learning, and big data analytics to review and analyze financial records. This course can help you develop the skills you need to succeed in this role, as it will show you how to use these technologies to detect fraud and ensure compliance.
Financial Advisor
A Financial Advisor is a professional who provides financial advice to individuals and organizations. This course can provide you with the skills you need to succeed in this role, as it will teach you how to use AI, machine learning, and big data analytics to help clients make informed financial decisions. This course can help you develop the skills you need to succeed in this role, as it will show you how to use these technologies to develop and implement financial plans.
Investment Banker
An Investment Banker is a professional who helps companies raise capital. This course can provide you with the skills you need to succeed in this role, as it will teach you how to use AI, machine learning, and big data analytics to analyze financial data and make recommendations about investments. This course can help you develop the skills you need to succeed in this role, as it will show you how to use these technologies to help companies raise capital.
Portfolio Manager
A Portfolio Manager is a professional who manages investment portfolios. This course can provide you with the skills you need to succeed in this role, as it will teach you how to use AI, machine learning, and big data analytics to analyze financial data and make investment decisions. This course can help you develop the skills you need to succeed in this role, as it will show you how to use these technologies to manage investment portfolios.
Compliance Officer
A Compliance Officer is a professional who ensures that a company complies with all applicable laws and regulations. This course can provide you with the skills you need to succeed in this role, as it will teach you how to use AI, machine learning, and big data analytics to identify and mitigate risks. This course can help you develop the skills you need to succeed in this role, as it will show you how to use these technologies to comply with all applicable laws and regulations.
Forensic Accountant
A Forensic Accountant is a professional who investigates financial crimes. This course may provide you with the skills you need to succeed in this role, as it will teach you how to use AI, machine learning, and big data analytics to analyze financial data and detect fraud. This course may help you develop the skills you need to succeed in this role, as it can show you how to use these technologies to investigate financial crimes.
Actuary
An Actuary is a professional who uses mathematics and statistics to assess risk. This course may provide you with the skills you need to succeed in this role, as it will teach you how to use AI, machine learning, and big data analytics to analyze data and assess risk. This course may help you develop the skills you need to succeed in this role, as it can show you how to use these technologies to assess risk.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in FinTech Technologies.
Demonstrates the applications of machine learning for financial risk management. It covers supervised and unsupervised learning algorithms, model evaluation, and case studies, providing valuable insights for risk managers seeking to leverage machine learning techniques.
Offers a comprehensive guide to machine learning techniques used in finance. It explores supervised and unsupervised learning algorithms, feature engineering, and model evaluation, providing valuable insights for practitioners seeking to harness the power of machine learning.
Provides a primer on central bank digital currencies (CBDCs). It explores the potential benefits and challenges of CBDCs, discusses design considerations, and assesses their implications for monetary policy and financial stability.
Provides a comprehensive overview of the use of blockchain and distributed ledger technology (DLT) in the finance industry. It covers a wide range of topics, including blockchain applications in payments, trade finance, and capital markets.
Analyzes the design considerations for central bank digital currencies (CBDCs). It offers a comprehensive overview of the technical, legal, and policy implications of CBDCs, providing valuable insights for policymakers and practitioners.
Provides a comprehensive overview of the use of FinTech in the banking industry. It covers a wide range of topics, including FinTech applications in payments, lending, and investment management.
Provides a comprehensive overview of the use of FinTech in the wealth management industry. It covers a wide range of topics, including FinTech applications in financial planning, investment management, and retirement planning.
Provides a comprehensive overview of the use of FinTech in the retail banking industry. It covers a wide range of topics, including FinTech applications in payments, lending, and deposits.

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