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AI Researcher – WorldQuant BRAIN

A full-time research role on WorldQuant's BRAIN platform, which crowdsources predictive signals from outside contributors. The hire applies large language models and other AI methods to build signals and improve the platform.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

  • Fine-tune language models to pull signals out of text and other alternative data
  • Build and refine alphas on the BRAIN platform using ML ideas
  • Explore large financial datasets for patterns worth modelling
  • Help platform developers test new datasets and features
  • Track new AI papers and judge which could help signal research

What they ask for

Required

  • Machine learning and large language models
  • Python and C++
  • PyTorch or TensorFlow
  • Maths, statistics and quantitative modelling
  • Strong interest in financial markets
  • Clear English communication

Preferred

  • Experience with financial datasets
Education
Bachelor's or advanced degree in computer science, AI, maths, financial engineering or a related field
Experience
Not specified; open to strong graduates
Languages and tools
  • Python
  • C++
  • PyTorch
  • TensorFlow

How to prepare

  • Fine-tune a small transformer on financial news and test whether its output predicts returns
  • Build a simple alpha in Python and evaluate it for overfitting
  • Review how reinforcement learning is applied to trading problems
  • Practise explaining a model's results to non-specialists

What to study

The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on WorldQuant’s site before applying: requirements, location and pay can change after we check them.

View the posting on WorldQuant’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with WorldQuant and doesn’t handle applications.

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