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Quantitative Researcher

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Scope of work

  • Design, test, and implement trading algorithms that exploit market inefficiencies
  • Analyze large datasets to identify patterns and uncover trading opportunities
  • Apply statistical and machine learning methods to enhance trading strategies
  • Assist in developing, improving, and calibrating the exchange simulator
  • Build new research tools and contribute to internal libraries
  • Work closely with developers, traders, and researchers to refine models, improve performance, and deploy algorithms into live trading environments

Desirable Candidates

  • Bachelor’s, Master’s, or PhD in Mathematics, Statistics, Computer Science, or a related STEM field
  • Strong research, analytical, and quantitative modeling skills
  • Proficiency in Python
  • Experience in statistical analysis, numerical methods, or machine learning

Bonus points

  • Experience in quantitative or systematic trading
  • Experience working with large datasets or tick-level market data
  • Experience deploying and maintaining machine learning models in production
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