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Machine Learning Quantitative Researcher

Selby Jennings
London
10 months ago
Applications closed

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An established pod at a $5-20BN hedge fund in London is looking for a quant researcher with demonstrated proficiency in various machine learning techniques to contribute to alpha research and strategy development. This candidate will ideally be looking to develop into a senior quant researcher, managing their own strategies and eventually some risk.

They are running intraday macro strategies, taking a cross-asset approach. The hedge fund have a well-developed infrastructure for systematic trading and provide extensive, high-quality data with the expectation that strategies could quickly go live.

Location: London, Dubai

Key Responsibilities:

  • Research and identify new trading signals and strategies using statistical analysis and machine learning techniques.
  • Develop, test, and implement macro quantitative models aimed at generating alpha across equities, FX, and FI.
  • Collaborate closely with the PM to develop alpha signals and execute in the market.
  • Stay up-to-date with the latest developments in machine learning, quantitative finance, data science, and market trends to drive innovation.


Requirements:

  • Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Mathematics, Machine Learning, Statistics, Physics, Engineering, Computer Science, or a related field.
  • Demonstrated experience in Machine Learning techniques including NLP, Deep Learning, and neural pathways.
  • Strong programming skills in Python, R for algo development and data analysis.
  • Experience statistical modelling and signal generation.
  • Experience working with large datasets, databases, and time series data.

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