WORKSHOPS

The evolution and the fast-paced trend of modern machine learning methods and tools in recent years bring promise of the same progress in other important fields such as Investment Management, financial forecasting, and Banking Risk Management.

Currently, Financial institutions and vendors are using AI and machine learning methods to assess credit quality, to price and market insurance contracts, and to automate client interaction. This workshop connects Risk Analysts, data professionals, Investment Analysts and Portfolio managers working in the finance and investment industry to AI and ML. 

Technical Financial Institutions Analysts 

Certificate of participation issued by the UASA & SCA Professional Training & Examinations Centre.

(10 CPD Hours) [Other topics delivered by SCA]

15:00 - 16:20 Session 1

16:20 - 16:30 Break

16:30 - 17:50 Session 2

17:50 - 18:00 Break

18:00 - 19:00 Session 3

- Introduction to Machine Learning Building Blocks

- Understand the motivation of applying AI in Finance related Business.

- Recent Tools and Applications of AL and ML

- Get hands-on financial forecasting experience using machine learning with Python, Keres, Scikit-Learn and pandas.

- Use a variety of data preparation methods with financial data

- Predict future values based on single and multiple values

- Apply key modern Machine Learning methods for forecasting.

- Understand the process behind choosing the best performing data preparation method and model.

- Grasp Machine Learning forecasting on a specific real-world financial data

- AI and ML Applications in Risk Management

- AI and ML Applications in Investment and portfolio Management

- AI and ML Applications in Banking Stress Test

- AI and ML Applications in Trading

- AI, ML and Big Data challenges