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Risk Case Study Challenge
Last Updated: 2026-02-05 15:36:31
Abstract
This seminar provides master students at ETH with the challenging opportunity of working on a real risk case in close collaboration with a company. For Fall 2019 the Partner will be Credit Suisse and the topic of cases will focus on machine learning applications in finance.
Objective
Students work in groups on a real risk-related case of a business relevant topic provided by experts from Risk Center partners. While gaining substantial insights into the risk modeling and management of the industry, students explore the case or problem on their own, working in teams, and develop possible solutions. The cases allow students to use logical problem solving skills with emphasis on evidence and application and involve the integration of scientific knowledge. Typically, the cases can be complex, cover ambiguities, and may be addressed in more than one way. During the seminar, students visit the partners’ headquarters, interact and conduct interviews with risk professionals. The final results will be presented at the partners' headquarters.
Content
Get a basic understanding of o Risk management and risk modelling o Machine learning tools and applications o How to communicate your results to risk professionals For that you work in a group of 4 students together with a Case Manager from the company. In addition you are coached by the Lecturers on specific aspects of machine learning as well as communication and presentation skills.
General Information
- Language
- English
- Levels
- MSC , NDS
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Registration & Places
- Signup Start
- 30.08.2020
- Signup End
- 13.09.2020
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar |
Risk Case Study Challenge
Does not take place this semester.
The course takes place in FS 2021.
|
No time listed | 2 h weekly |
Offered In
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Management, Technology and Economics Master (Welcome and Introduction to MSc ETH MTEC Montag, 14.09.2020, 14.00 h, HG E1.1 (tbc))
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MAS in Management, Technology, and Economics (MAS MTEC Introductory Event for 1st Semester Students. Monday, 14.09.2020, 16.00 h, HG E1.2 (tbc))
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Statistics Master (The following courses belong to the curriculum of the Master's Programme in Statistics. The corresponding credits do not count as external credits even for course units where an enrolment at ETH Zurich is not possible.)
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Quantitative Finance Master (see Students in the Joint Degree Master's Programme "Quantitative Finance" must book University of Zurich modules directly at the University of Zurich. Those modules are not listed here.)
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Mathematical Methods for Finance (For possible additional course offerings see )
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