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Quantitative Researcher

Job in 6300, Zug, Kanton Zug, Switzerland
Listing for: Anson McCade
Full Time position
Listed on 2026-07-20
Job specializations:
  • Research/Development
    Data Scientist, Mathematics
Salary/Wage Range or Industry Benchmark: 90000 - 130000 CHF Yearly CHF 90000.00 130000.00 YEAR
Job Description & How to Apply Below

Quantitative Researcher (Junior/Entry Level) - Systematic/Quant Hedge Fund

My client is systematic hedge fund with offices globally. Their teams trade all liquid markets and cover a mix of HFT, Stat Arb/Mid-Frequency, Quant Macro, and Event-Driven strategies. The firm is looking for graduate or junior-level Quantitative Researchers to cover the full strategy lifecycle, from data pre-processing through to implementation and monitoring, in collaboration with other Quantitative Researchers, Developers and Traders.

This is an excellent opportunity for PhD and Master’s level graduates with a background in mathematics, statistics, or a related STEM field. Successful candidates will work in a collaborative environment where they will work on the full strategy pipeline from initial data analysis and cleaning to implementing and monitoring strategies.

The Role
  • Involvement in all aspects of the strategy development process, from research based on large datasets to the creation, backtesting and implementation of strategies.
  • You will use quantitative methods to conduct in-depth analysis of market patterns and trends. You will use methods such as statistical modelling and machine learning techniques to identify tradeable opportunities.
  • This is a collaborative environment where you will work with other quantitative researchers to collect data, discuss research, and optimise systematic trading strategies.
Requirements
  • The ideal candidate will have a Master's or PhD in a numerate field of study, such as Mathematics, Physics, Computer Science, or Engineering.
  • Excellent coding ability in at least one language. Previous successful candidates are proficient users of Python, C++, Java, MATLAB, etc.
  • Experience/knowledge of finance from academic studies, internships or professional work.
  • Strong attention to detail, excellent problem-solving abilities, and the ability to work well in a collaborative environment.
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