Machine Learning in Finance
About this course
Course objectives
This module provides an introduction in data science, machine learning and artificial intelligence on how it is applied to the world of banking and finance. To aid understanding, use cases and examples will be provided throughout the lesson.
Course description
Discover the fundamental roles of machine learning and data science in today's world of finance. Future proof and take advantage of the coming 4th industrial revolution. Explore existing data science and machine learning use cases in the financial services sector. This course aims to provide participants with an introduction to machine learning and data science. Examples of how they are applied to the world of finance will also be shared and discussed.
Trainer Profile:
Tristan Lim, Lecturer
Tristan has experience spanning the private and public sector, in the areas of investment management, corporate finance, venture capital and technology advisory. Tristan holds postgraduate degrees in Quantitative Finance and Engineering from The University of Sydney and National University of Singapore, and he is a CFA and CAIA charter holder. Tristan is also a member of the UK Chartered Institute for Securities and Investment (MCSI).
Target audiences
Finance Executives & Managers seeking to deepen or broaden their skills in this area.