Quantitative Researcher - London, United Kingdom - eFinancialCareers

Tom O´Connor

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Tom O´Connor

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Description
An MSc / PhD in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field.

  • Strong knowledge of probability and statistics (e.g., machine learning, timeseries analysis, pattern recognition, NLP)
  • Knowledge and experience with Machine Learning, Deep Learning, Natural Language Processing, Time-Series data, Bayesian Inference, Monte-Carlo simulation
  • Degree from a toptier university (Oxford & Cambridge universities, UCL, Imperial College London, Columbia University, MIT, CalTech, Berkeley, Stanford and other Ivy league universities, ETH Zurich, Ecole Polytechnique)
  • GPA 3.7+/4.0 or First-Class Honours degree
  • Fluency in Python or C++
  • Excellent analytical skills, with strong attention to detail
  • Strong written and verbal communication skills

Desirables include:


  • Internships or fulltime experience within quant finance firms / tech companies / AI research

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