New Technologies in Banking and Finance

This course unpacks the technologies underlying the digital transformation in banking and reflects on the impact they have on the financial world.

newtechfinance

Technological advances, digitization and the ability to store and process vast amounts of data has changed the landscape of banking and finance. This course unpacks the technologies underlying these transformations and reflects on the impact they have on the financial world. The course covers changes in management as well.

The financial manager of the future is commanding a wide set of skills. Those skills range from a great familiarity with technological advances and a sensible understanding of the impact on workflows and business models. Students with an interest in finance and banking are invited to take the course, although they may not have any explicit theoretical knowledge of financial economics.

Format

The course is organised around three main themes:

  1. Machine Learning: Covers fundamentals of ML and insights in real application,
  2. Distributed Ledger Technology Crypto currencies: Covers fundamentals of DLT and applications from finance and trading (Central Bank Digital currencies, Bitcoin, Tokenization, NFTs),
  3. Quantum Computing: General introduction and envisioned applications with an additional focus on cyber security aspects.
     

Learning Objectives

After taking this course, students will be able to

  • Understand recent technological developments and how they drive transformation in banking and finance,
  • Understand the skill set needed in these technological domains.
  • Reflect on the impacts this transformation has on workflows, agile working, project and change management.
     

Required competences

Because the course will cover topics like machine learning, cyber security, distributed computing, and more, an understanding of these technologies is an advantage but not a necessity. The course will also go beyond technological advances and will also cover management-related contents.

In addition to weekly session there are optional exercises with more hands-on coding opportunities.
 

Who, when, what?

The course (3 ETCS) runs in the Spring Semester in the D-MTEC curriculum (MSc and MAS) and the Master in Quantitative Finance Program.

We welcome all ETH students.

Non-MTEC students: Please consult the Study Office of your department to ensure you can earn the credits from the course.

Coordinator

  • Dr. Bastian Bergmann, ETH Risk Center
  • Dr. Philippe Mangold, Credit Suisse

ETH Lecturers

  • Patrick Cheridito, D-MATH
  • Hans Gersbach, D-MTEC
  • Philipp Kammerlander, D-PHYS
  • Kenny Paterson, D-INFK
  • Josef Teichmann, D-MATH
  • Roger Wattenhofer, D-ITET

2022 Speakers

  • List of Guest Speakers coming soon
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