Machine Learning (ML) techniques are transforming the financial services industry where automation and data-driven decisions are becoming more and more important. For banks, asset managers, and institutions, the application of ML can make drastic changes to the way they work and operate; reducing costs, increasing efficiency, improving security and of course, finding unique ways to create investment strategies. It’s clear that the importance of ML within the financial industry is ever increasing. 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) in January 2021. This year, the FEC will consist of four weekly lectures where experienced professionals from different branches of finance will speak about how their company uses ML. Some of the participating companies are Rabobank and APG.
More information about the exact topics and links to subscribe will follow soon on the social media of B&R Beurs and FAECTOR. This is an open event for all members of B&R Beurs or FAECTOR, no CV selection to participate! Note that the cycle will fully take place online, so join us from anywhere in the world!
- 12 January - Introduction to ML with Dr. Keith Black (FDP)
- 19 January - Why the largest Dutch hedge fund does not use ML with Harold Boer (Transtrend)
- 26 January - Market sentiment analysis from audio data with Dr. Eran Raviv (APG)
- 2 February - Natural Language Processing with Paul Hendriks (Rabobank)