Quantitative Researcher - NLP & Machine Learning (Systematic Equities) Job at Aurum Search Limited, Chicago, IL

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  • Aurum Search Limited
  • Chicago, IL

Job Description

NLP/DL Quantitative Research - Chicago, New York

A leading multi-strategy hedge fund is expanding its systematic equities team and is seeking a Quantitative Researcher with deep expertise in Natural Language Processing (NLP) and Machine Learning (ML). This is a rare opportunity to work in a newly formed Senior PM pod, leveraging alternative data, tick-by-tick market data, and deep learning models to drive innovative trading strategies.

What You’ll Do:

  • Develop and implement NLP-driven alpha signals for systematic equity strategies
  • Apply deep learning and reinforcement learning to market prediction problems
  • Process and analyse tick-by-tick data, alternative datasets, and event-driven signals
  • Work closely with portfolio managers, data engineers, and traders to optimise model performance

What We’re Looking For:

  • 3+ years buyside experience OR 5+ years in a blended tech/finance role
  • Proven track record in machine learning, deep learning, and NLP applications
  • Strong programming skills in Python, TensorFlow, PyTorch, or similar frameworks
  • Experience with market microstructure, alternative data, and systematic equities is a plus

If you are interested, please attach a CV and we will reach out for a confidential conversation.

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