Asset Management

[Webinar] Algo Trading – Implementation and Risk Management


Algo trading is a contemporary financial trading approach which executes trade orders using pre-determined and automated trading instructions accounting for variables such as price, volume, time and pattern.

This course will cover the history, development, implementation and risk management of algo trading in Hong Kong. The speaker will highlight the associated risks and demonstrate how to mitigate the risks with back testing, forward testing and stress testing. On the regulatory front, the circulars / guidelines issued by local regulators and the enforcement cases on algo trading will be addressed.


• History of algo trading
• Advantages and limitations of algo trading
• Life cycle of algo trading
• Algo trading in Hong Kong
• Risk management: back testing, forward testing and stress testing
• Regulatory requirements and compliance practices

Who should attend

• Compliance, risk management and legal professionals
• Hedge fund managers
• Quantitative traders
• IT professionals supporting the operations of algo trading

Financial Incentive Scheme of the WAM Pilot Programme

This course has already been approved as an eligible course of the Financial Incentive Scheme for Professional Training (“the Scheme”) under the Pilot Programme to Enhance Talent Training for the Asset and Wealth Management Sector (“the Pilot Programme”). The Scheme aims to enhance the competency and professionalism of in-service practitioners within the asset and wealth management sector and to assist other practitioners within the financial services industry in acquiring the knowledge and skills required for entering the sector. Eligible applicants will be subsidised 80% of the course fees by the HKSAR Government upon satisfactory completion of the courses approved by Hong Kong Securities and Investment Institute, subject to a ceiling of HK$15,000. Hong Kong Securities and Investment Institute is appointed as the implementation agent of the Pilot Programme. Regarding the details of eligible criteria and application procedures, please refer to the dedicated web-site of the Pilot Programme (

Speaker/Course Instructor

Yat-fai LAM
Dr. Lam Yat-fai is the Chief Data Scientist of Strategic Data Science Limited and the Adjunct Professor of Finance, City University of Hong Kong. He graduated from City University of Hong Kong with a Doctor of Business Administration degree and holds the CFA, CAIA, CAMS, CFE, FRM, PRM, MCSE and MCNE professional designations, specializing in the areas of machine learning, cryptocurrencies and anti-money laundering. Before transforming to a financial technologist, Dr. LAM worked for bank regulator, international bank and sovereign wealth fund.


Date & Time
Friday, 12 May 2023 (6:30PM - 9:30PM)
Virtual Platform
Relevant Subject
Type 1 - Dealing in securities
Type 2 - Dealing in futures contracts
Type 4 - Advising on securities
Type 5 - Advising on futures contracts
Type 9 - Asset management
Trad. Chi / Cantonese
SFC:3.00, PWMA:3.00