Fund Quant

Unhedged has developed three algorithms that are currently running on our trading platform. We are seeking an experienced and passionate individual that will join our team to contribute to the development of  new algorithms while maintaining the current algorithms. You will be responsible for the R&D, deployment and monitoring of the algorithms.

 

Key skills:

  • Great team spirit, eager to be the spider in the web, creating alignment & maintaining focus.
  • Our primary programming language is Python, the ideal candidate would have end-to-end development experience with Python. Experience with the following libraries will be key: Pandas, NumPy, SciPy, Scikit-Learn and NLP libraries such as NLTK, spaCy.
  • R&D experience and knowledge of financial markets & securities.
  • Experience with large data sets and time series data.
  • Good understanding of mathematical & statistical concepts in trading.
  • Solid experience with evaluating financial models & algorithms.

Preferred skills:

  • Experience with Python Zipline library.
  • Experience developing end-to-end applications (deploying applications in a production environment including testing, performance monitoring).
  • Agile working experience.
  • Experience setting research topics & goals.
  • Experience with cloud infrastructure, e.g. AWS.

     

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