FEC: Introduction to ML in Finance by FDP Institute
Machine Learning (ML) techniques are transforming the financial services industry where automation and data-driven decisions are becoming increasingly important. For banks, asset managers, and institutions, the application of ML can make drastic changes to the way they work and operate. Knowing about ML is not only highly valued by the employers, but is also essential to keep up with the latest developments in the financial sector. Therefore, B&R Beurs and FAECTOR decided to join forces and organise the Financial Engineering Cycle (FEC). This year, the FEC will consist of several weekly online guest lectures.
About the event
On the 12th of January 2021, 17:00-19:00, Dr. Keith Black will give an introductory lecture on the various applications of machine learning and data science in finance. Briefly discussing real-life cases in the investment world such as how hedge-funds use the power of big data and AI to beat the market. Dr. Black will also briefly cover the different financial actors that are benefiting from machine learning such as asset managers and investment banks.
About FDP Institute
The FDP Institute (FDPI) was established by CAIA Association to address the growing need in finance for a workforce that has the skills to perform in a digitized world where an increasing number of decisions will be data and analytics driven. The FDP Credential offers expertise in data science and its practical applications in finance.
About the speaker
Managing Direct, Content Strategy CAIA
Keith Black has over thirty years of financial market experience, serving approximately half of that time as an academic and half as a trader and consultant to institutional investors. He currently serves as Managing Director of Content Strategy for the CAIA Association.