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…
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