Quantitative Researcher – Machine Learning | Hedge Funds | Paragon Alpha

Quantitative Researcher – Machine Learning | Hedge Funds

Permanent

Research

New York

We are hiring a Quantitative Researcher (Machine Learning) to join leading global hedge funds and systematic trading teams. This role focuses on applying machine learning, statistical modelling, and quantitative research to develop alpha-generating strategies across equities, futures, options, and other liquid asset classes.

Head of USA Quantitative Portfolio Management

Robert Stubbs

robert@paragonalpha.com

Key Responsibilities

  • Research and develop machine learning–driven trading signals
  • Apply techniques such as supervised/unsupervised learning, feature engineering, and model validation
  • Build, backtest, and optimize systematic trading strategies
  • Work closely with portfolio managers and quant developers to deploy models into production

Requirements

  • Strong background in quantitative research, machine learning, and statistics
  • Advanced Python skills (NumPy, pandas, scikit-learn, PyTorch or TensorFlow)
  • Experience with financial time-series data and systematic trading
  • Degree in Mathematics, Computer Science, Engineering, Physics, or Statistics
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