Python Programming for Fintech


This workshop is open to CityU members only. Graduating students and senior-year students are particularly welcome. Registrants must register with their CityU email accounts.

There are 4 meetings for each workshop:
Workshop 1 - 23/06/17, 26/06/17, 30/06/17 and 03/07/17
Workshop 2 - 28/06/17, 05/07/17, 07/07/17 and 10/07/17

Maximum capacity is 60 persons for each workshop.

Time 1900pm - 2200pm
Venue Financial Simulation Laboratory, 7-218,  Lau Ming Wai Academic Building (AC3), City University of Hong Kong. 

Python is currently the most popular open-source programming language used by global investment banks. The workshop is designed for students with less programming experience, covering the following topics: 

  1. Introduction to Python and its installation
  2. Basic manipulation and simple programming
  3. Python library for data analysis such as Pandas, NumPy, SciPy and Matplotlib
  4. Data download and upload in Excel, Yahoo, Google and etc.
  5. Practical financial application such as time series analysis, options pricing, financial risk management, big data analysis, algo trading, artificial intelligence analysis and etc.
  6. Object Oriented Programming
Host Mr. Garbiel K M Wong, a veteran risk management specialist.

Mr. Garbiel K M Wong, a veteran risk management specialist

Mr. Wong has 20-year experience in leading commercial and investment banks, including Bank of China (HK), Royal Bank of Scotland, Merrill Lynch, HSBC, NatWest, Nikko Securities and Nomura. He specializes in quantitative risk management with a solid experience of controlling risk of trading desks for equity, interest rate, FX and credit derivatives. He graduates with a Master degree in Financial Engineering, a Master in Finance and a Bachelor degree in Quantitative Analysis from City University of Hong Kong.