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Hudson River Trading

Algorithm Developer (Quant Research & Trading) – 2027 Grads

London, United Kingdom; New York, NY, United States; Singapore

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Eligibility

  • Full-time student eligible for 2027 graduate roles in relevant quantitative disciplines.

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Full-time graduate role for 2027 graduates as Algorithm Developer applying quantitative and statistical research to build and maintain trading models across locations in London, New York, and Singapore.

Responsibilities

  • Build and maintain models that drive trading.
  • Apply rigorous statistical analysis to market and financial data.
  • Research, develop, and test novel order execution and model training methods.
  • Run models live on high-performance trading infrastructure.
  • Analyze daily performance to maintain profitability.

Requirements

  • Full-time undergraduate or masters student in a quantitative discipline eligible for 2027 full-time roles.
  • Experience programming in Python and/or C++.
  • Experience with statistical analysis, numerical programming, or machine learning tools.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and collaboratively.

Skills

  • Python
  • C++
  • Statistical analysis
  • Numerical programming
  • Machine learning
  • Pandas
  • Numpy
  • R
  • MATLAB
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