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Systematic Fast Trading Intern

New YorkOn Site

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Eligibility

  • Penultimate year student eligibility for summer internship.

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Summer internship in high-frequency trading strategies development involving machine learning research, trading infrastructure, and quantitative research in a systematic trading team.

Responsibilities

  • Develop high-frequency trading strategies across multiple asset classes.
  • Engage in end-to-end development of fast alpha portfolios using ML and microstructure techniques.
  • Build customized monetization stack and optimize trading and order placement.
  • Collaborate on deploying machine learning models and research workflows.
  • Participate in research and development with strong programming focus.

Requirements

  • Currently a penultimate year student (PhD students encouraged).
  • Strong technical programming skills especially in Python.
  • Knowledge of machine learning algorithms and research processes.
  • Experience or interest in high frequency tick data analysis and trading strategies.
  • Previous ML or statistical research internship experience preferred.
  • Strong academic achievement in technical degree programs.

Skills

  • Python
  • Machine learning
  • Quantitative research
  • High-frequency trading
  • Software development
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