Quantitative Researcher - Machine Learning

Point72

New York, United States
On-site
Machine learning methods
Proprietary datasets
Novel trading signals
A highly collaborative, fast-growing team is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power

Job Summary

  • A highly collaborative, fast-growing team is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power.
  • Researchers will work closely with experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact.
  • Stay up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.

Matching Summary

A highly collaborative, fast-growing team is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power.

Skills & Requirements

Must-have

  • machine learning methods
  • proprietary datasets
  • novel trading signals
  • Torch, JAX or TensorFlow
  • Python, cluster environment
  • software engineering principles

Nice-to-have

  • highly collaborative team
  • detail-oriented mindset
  • proactively engage team members
  • highest ethical standards

Key Requirements

  • Master's or PhD
  • Machine learning, computer science, statistics
  • Modern sequence models, graph neural nets, reinforcement learning, LLMs
  • Research experience with large datasets
  • Strong analytical and quantitative skills
  • Excellent communication skills

Work Rights

Not specified

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