Quantitative Researcher - Machine Learning

point72 · New York

Posted
19 days ago
Last confirmed live
2 days ago

What this role involves

Cubist Systematic Strategies, an affiliate of Point72, seeks a Quantitative Researcher with expertise in machine learning, specifically deep learning and natural language processing. The researcher will develop systematic trading models, handling data ingestion, analysis, and model implementation. The role requires a PhD in a relevant field and experience with Python and ML frameworks like TensorFlow or PyTorch.

Skills this posting asks for

  • machine learning
  • deep learning
  • natural language processing
  • python
  • r
  • tensorflow
  • pytorch
  • sequential modeling
  • time series forecasting
  • representation learning
  • data analysis
  • model implementation
  • feature engineering

From the employer’s posting

About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wid…

Read the full description on point72’s careers page

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