- A Master of Science or PhD in a quantitative field (mathematics, physics, statistics, financial or computational engineering, econometrics)
- A strong interest in financial risk management and/or applying advanced analytical methods like machine learning in the financial risk management world
- Good knowledge of programming or DB languages like VBA, Matlab, Python SQL, R and C # (or other) allowing you to analyze data, implement quantitative algorithms and develop solutions
- Good knowledge of a development environment and experience implementing predictive models and machine learning is a plus
- Fluent in German and English
- Excellent interpersonal and communication skills and the ability to demonstrate initiative and a flexible working style within a multi-national team
Stick to your plans and realize your goals with us! Design your career with EY in a culture that promotes diversity and education.
- International multi-cultural team of highly motivated professionals
- Constant personal development with a steep learning curve - a system of trainings, mentoring, counselling and on-the-job learning
- Modern working environment and equipment, fostering mobile working flexibility
- Transparent performance-based recognition and progression system
- Acquire a fully accredited corporate MBA (EY Tech MBA) from Hult International Business School, whilst working with EY, completely free*
Your ambition is as bold as ours. As part of our high-performing teams, you?ll build the tech skillsets and growth mindsets to become the leader you want to be. The leader the world needs. Harness our scale, our tech, our teams and our culture to realize your potential. Learn from the best, surround yourself with the curious, ask better questions to seek better answers. The exceptional EY experience. It?s yours to build.
Make the next step and apply for this position online. Ref. No ZUR001HM. For further information please contact our recruitment team (recruitment.switzerland@ey.com / +41 58 286 33 66).
* exception of EY contractors, interns and alumni.