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Are you interested in this position? Then fill out the form below and submit your application materials.Quantitative Analyst (A) in Financial Markets
For our client a major bank in Zurich we are seeking for a Quantitative Analyst in Financial Markets.
Duration of employment
24.09.2024
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Pensum
100%
Reference
3126
Description
Please note that due to applicable Swiss legislation, we can only consider applications from Swiss citizens, EU citizens, and individuals with a valid work permit.
Remote work from abroad is not possible.
Tasks
Remote work from abroad is not possible.
Tasks
- Develop quantitative models and algorithms for Trading, including order execution, market making, and alpha generation
- Deliver well-documented prototype and production code to run financial models, mainly in Python and Scala
- Create software applications, user interfaces, APIs, dashboards, and automated reports for business users
- Assist with Business Development, including writing Data Analytics mandate, preparing reports, and delivering business presentations
- Understand and clearly present Quantitative Finance literature
- Create technical reports, and appropriately document developed libraries
- Assist, when needed, with the development of Data Analytics platform, including Databases and Data Lake
- Collaborate with Data Scientists, Developers, and Traders to jointly meet deadlines
- Master or PhD in a technical field, such as Quantitative Finance, Mathematics, Physics, Engineering, Economics, Computer Science, or alike
- 3+ years of work experience as a Quantitative Analyst / Quantitative Developer in a financial firm
- Advanced coding skills in programming languages such as Python, R, Matlab, Haskell, Scala, C++, and/or Java
- Experience in Quantitative Trading, for example developing systematic strategies
- Knowledge of Mathematical Finance and Financial Markets, including Algorithmic Trading, Derivative Pricing, Portfolio and Risk Management, Dynamic Programming, and Numerical Methods
- Knowledge of Machine learning methodologies, including Clustering techniques, Factor Modelling, Reinforcement Learning, and Advanced Statistics
- Knowledge of Git, SQL, and Dash (or similar).
- Basic knowledge of Power BI, Tableau, and VBA
- Experience with Real Time Analytics, Low-Latency Algorithms, Webapp Development, Docker, Kubernetes, etc. is a strong plus
- Experience with Business Development is a plus
- Familiarity with Agile framework, including Jira, is a plus
- Fluency in English
- Collaborative, team player, open minded, and easy to work with
- Proficient presentation skills and high attention to detail
- Able to explain technical results to non-technical audiences