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Quantitative Researcher - Equities/Derivatives Alpha Generation

Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

One of our partner hedge funds with 5+ bn AUM with offices in US (New York/Chicago) and UK (London/Dublin) has recently onboarded a new Portfolio Manager who is looking to hire a few Quantitative Researchers at graduate or experienced level to focus on GlobalEquities market. The role is an intersection of computer science, machine learning and statistics with focus on finding patterns in time-series data, generating alpha trading signals and optimizing machine learning models, which in return impacts the PnL resultof the firm. This is an excellent entry-level opportunity to work with experienced Portfolio Manager, improve your quantitative skills and apply statistics and Machine Learning techniques in a novel way. It will be a collaborative environment prioritisingintellectual curiosity, a stellar work ethic, and independent thought.Successful candidates will possess:

  • An MSc / PhD in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field.
  • Strong knowledge of probability and statistics (e.g., machine learning, time-series 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 top-tier 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 full-time experience within quant finance firms / tech companies / AI research

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