Switzerland Job Openings

Bosshard & Partner Unternehmensberatung AG

Quantitative Analyst (A) in Financial Markets

FULL TIME

September 11, 2024

For our client a major bank in Zurich we are seeking for a Quantitative Analyst in Financial Markets.
BESCHÄFTIGUNGSGRAD
100%
ARBEITSORT
Zurich - Altstetten / Remote (only from Switzerland)
STARTDATUM
24.09.2024
REFERENCE
3126
TYP
Contracting
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
  • 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
Requirements
  • Master or Ph D 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
Soft Skills
  • 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
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