AI Governance Executive Programme in Global Capital Markets

Tap on the growing demand of AI to confidently navigate the evolving financial landscape

70%

of all working hours in capital markets will be changed by AI
Source: Accenture

USD2.7 bn

AI Governance market size by 2031
Source: Allied Market Research

The role of Artificial Intelligence in the global debt and securities market has become increasingly crucial. With an impact in the capital markets, the application of Artificial Intelligence (AI) is transforming governance practices, enhancing efficiency, transparency, and decision-making processes.

In collaboration with International Capital Market Association (ICMA), the AI Governance Executive Programme in Global Capital Markets aims to equip participants with a solid understanding of Artificial Intelligence’s crucial role in the global debt and securities market. With a forward-thinking approach, the course anticipates the trajectory of technological advancement within risk management frameworks via diverse aspects of AI adoption, encompassing its implications for modern financial institutions and its application across debt trading, investment management, and regulatory compliance.

Format

Asynchronous Learning (Online)

Date

Duration

5 weeks
4 to 6 hours per week

Pre-Requisites

None

Who is this programme for?

The programme is appropriate for seasoned professionals and C-suite executives within the financial industry and for middle to senior financial industry practitioners actively engaged in the capital and securities markets worldwide holding roles in areas including compliance, risk management, technology and operations, debt and securities and capital markets

Programme Highlights

FWP-1

A blend of theoretical foundations and practical case studies, gaining insights and essential competencies in AI governance.

FWP- 2- network

Learn from industry leaders, regulators and academia through pre-recorded video lectures

market-research

Explore emerging trends and innovative practices poised to shape the future of the industry

FWP- 4- certificate

Earn an Executive Certificate with NUS in collaboration with ICMA

Programme Details

buildings

Explore global perspectives and impact on financial institutions and offices

artificial-intelligence

Analyze the applications and integration of AI in trading and investments

detection

Understand regulatory compliance, fraud detection and risk management with the help of AI

forecasting

Define AI use in risk management, operational efficiency and market forecasting

technology

Leverage on AI to adopt best practices and predict future trends

nlp

Utilize machine learning like Natural Language Processing (NLP) for market analysis

Programme Fees

Course Fees:  SGD 3,500.00

Prices quoted are subjected to prevailing Singapore taxes, including 9% goods and services tax (GST).

 

Academic Director

Dr. Edward Tay

Prof Edward Tay
Head of CET & Executive Education, NUS AIDF

An investor in four deep tech unicorns, driving innovation in Artificial Intelligence, Digital Economy and Green Tech and leadership roles in esteemed organizations like Sistema Asia Capital, British Telecom, IBM and Hewlett-Packard, Prof Edward's passion lies in navigating the complexities of Asian Technology Markets.

As an Associate Professor (Practice) at the United Nations Institute for Training and Research (UNITAR), he is serving concurrently as the Chair of the United Nations Sustainable Development Goals Research Lab, Council Member in Singapore Accreditation Council & Independent Board Member in Digilife Technologies Limited (Listed in Catalist, SGX), bridging the gap between academia and industry.

Programme Instructors

Chia-Tek-Yew

Tek Yew Chia
Vice Chairman, Oliver Wyman

Tek Yew has more than 30 years of consulting experience and is a subject matter expert in multiple aspects of financial services, including working with central banks and regulators across Asia and the Middle East. He is based in Singapore and is a Partner in the Financial Services, Government and Public Institutions teams.

Tek Yew has most recently focused on areas of market disruption in financial services, working with regulators on payments modernization and fintech promotion as well as in leveraging technology for green finance in Singapore.

kewei

Prof. Huang Ke-Wei
Executive Director, AIDF

Dr. Ke-Wei Huang is the executive director of Asian Institute of Digital Finance and an Associate Professor in the Department of Information Systems and Analytics at the National University of Singapore (NUS). Dr. Huang joined NUS in July 2007. He received his Ph.D. (2007), M.Phil. (2005), and M.Sc. (2002) degrees in Information Systems from the Stern School of Business at New York University, and his M.B.A. in Finance (1997) and B.Sc. in Electrical Engineering (1995) from National Taiwan University.

Andeed-Ma

Andeed MA
President, RIMAS

Andeed Ma is the President of the Risk and Insurance Management Association of Singapore (RIMAS) and a Partner at the Artificial Intelligence International Institute (AIII) think tank. With over 16 years of experience in AI, Fintech, and Risk Management, he has contributed significantly to companies like ServiceNow, ByteDance, and CyberArk.

Andeed lectures and mentors at the Singapore University of Social Sciences (SUSS) and the Singapore Management University (SMU), specializing in Automation, Cloud Computing, Regulatory Technology, and Sustainable AI Ethics. He co-authored the Wiley-published book “AI for Humanity: Building A Sustainable AI for the Future” (ISBN: 9781394180301).

Jinghao-300x300

Dr Jinghao KE
CEO, JCube Institute

Dr. Jinghao Ke is the CEO of JCube Institute, recognised for delivering cutting edge, high-quality training and career coaching in Digital Skills Mastery such as Data Analytics, Business Analytics, Machine Learning and Deep Learning, amongst others. He advises, executes and provides training for MNCs and various Singapore Government agencies.

Dr. Ke received his Ph.D. in Business (Finance) from SMU with his research dissertation and interests in corporate finance, incentives design, social networks, corporate governance and natural language programming. He led and managed teams to design, construct and maintain corporate governance indices with SMU’s Sim Kee Boon Institute for Financial Economics. He is also involved in business consulting and data analytics projects for many SMEs through the UOB-SMU Asian Enterprise Institute.