Quant Researcher – Systematic Equities & Signals

Marlin Selection Ltd

Zug

Vor Ort

CHF 90.000 - 150.000

Vollzeit

Vor 13 Tagen
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Zusammenfassung

Marlin Selection Ltd is recruiting a Quantitative Researcher for a small, collaborative systematic equities team in Switzerland. You will help develop, test, and refine alpha signals and strategies across global markets, partnering with the Senior Portfolio Manager to drive research into portfolio construction.

You will apply Python to data analysis, run backtests, and explore machine learning approaches, balancing financial intuition with rigorous statistical methods to support decision making

Qualifikationen

  • Strong programming and research skills with emphasis on Python.
  • Solid understanding of statistical modelling and data analysis.
  • Degree in quantitative field from a top-tier university.

Aufgaben

  • Collaborate with the Senior Portfolio Manager on alpha research, hypothesis testing, and performance evaluation.
  • Conduct research using diverse financial and alternative datasets with statistical techniques.
  • Develop and backtest systematic equity strategies ensuring robustness across regions and regimes.
  • Explore machine learning or NLP-based approaches depending on background.
  • Combine financial intuition with statistical learning to build predictive models impacting trading decisions.
  • Improve research tools, workflows, and data-processing pipelines.

Kenntnisse

Python
Statistical modelling
Data analysis
Machine learning
NLP

Ausbildung

Data Science
Computer Science
Statistics
Applied Mathematics
Physics
Engineering

Jobbeschreibung

Marlin Selection Ltd is recruiting a Quantitative Researcher for a small, collaborative systematic equities team in Switzerland. You will help develop, test, and refine alpha signals and strategies across global markets, partnering with the Senior Portfolio Manager to drive research into portfolio construction.

You will apply Python to data analysis, run backtests, and explore machine learning approaches, balancing financial intuition with rigorous statistical methods to support decision making

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