The workshop will be preceded by an online guidance for drafting a use case proposal about 2 months beforehand.

If you want to refresh your expertise and knowledge on selected advanced machine learning methods ahead of the workshop, we recommend you register for our online course Machine learning methods from 2 to 3 March 2026.

Objective

Machine learning is revolutionising the financial sector, offering powerful tools for data analysis and informed decision-making. This course is designed for experienced professionals looking to harness these methods in their organisation.

The course consists of an agile development workshop for participants to further develop their research or use case analysis and address the conceptual and practical challenges associated with its implementation. It features hands-on ideation, programming, and collaboration sessions, including feedback from the moderators and from peer-groups. Throughout the course, participants are expected to regularly present their progress, share knowledge and provide feedback to peers.

The online part will guide participants on how to draft a one-pager describing a selected use case in their domain, which they will develop during the workshop.

This course provides a forum for central bankers, regulators and supervisors to discuss strategies for developing and implementing use cases that leverage advanced machine learning methods. It presents a unique setting to exchange knowledge and foster collaborative innovation.

Contents

• Conceptual refining of use cases
• Agile development
• Hands-on programming
• Collaborative exchange and feedback sessions

Target group

The course is aimed at data-savvy central bankers, regulators and supervisors in areas such as information technology and statistics, or research departments interested in implementing machine learning methods.

Requirements

Participants are expected to make an active contribution to the discussions and will be asked to present their use case and to provide feedback to other participants. 

1. You will be required to submit and present a use case for implementing machine learning in your own jurisdiction, which you will (further) develop during the workshop. After registration, we will reach out to all applicants and ask for a brief description of their use case/project. If you need to bring a maximum of one additional colleague to Frankfurt to further develop and present your project as a team, please provide us with this information in your application.
2. Technical requirement: Please bring your own device to the workshop and ensure it has a functioning Python installation so you can work locally. Also, please bring any sample data you plan to use for your use case, ensuring it is accessible from your device.

Software and language: You should have a sufficient command in English and fundamental knowledge of data analysis and statistical software (including commands in Python).

Please note:

A nomination is required in order to participate in our in-person courses.