
Quant Analyst
- On-site
- Zug, Zug, Switzerland
- Research & Development
Job description
Your job
As a Quant Analyst, you are developing predictive models and writing mathematical algorithms to further develop and improve the automated software. You spend a lot of time writing code and creating systems that can handle complex data and complex processes. The work entails a combination of technical and practical aspects to find the best solutions for our trading strategies. The traders are on top of what’s going on in the market and you support them on what can be improved.
The types of projects you will be working on range from designing, testing and implementing new strategies, to tweaking existing strategies, performing data analysis to obtain a better understanding of the market and our own trading performance, or building various tools to streamline or automate certain processes. A project can take a week, a month or even several months, and sometimes we need more time to make sure we have the right result. How you approach a project is up to you, you have the freedom to create your own ideas and this is very much appreciated in our organization!
Job requirements
Who are you
You have a Master’s degree or PhD in Physics, Mathematics, Quantitative Finance, Econometrics or equivalent, with exceptional grades*
Passionate and knowledgeable about mathematical modeling
Experience with programming (Python or another language)
You take ownership of your projects and can work independently
*Minimum requirements are: (i) attending a top 200 university and (ii) top tier grades such as CH: 5.5, UK: >70%, NL: 8.0, DE: <1.6, FR: A, IT: 110L or equivalent. We value a well-rounded approach to talent assessment. While we have baseline expectations for academic performance, we understand that grades alone do not fully capture a candidate's potential or abilities. Therefore, we also welcome applicants who demonstrate exceptional skills, experience, or achievements in other areas that complement or compensate for slightly lower academic grades.
What we offer
Excellent remuneration (including discretionary bonus)
Fun and inspiring work environment
Experienced and knowledgeable colleagues
25 vacation days
Additional benefits: going out for dinner regularly, Friday afternoon drinks, yearly office trip(s), weekly massages, monthly meal allowance
A pre-employment screening is part of our application process.
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