- New York, United States
- Full-time · Associate
Quantitative researcher for the Cubist Machine Learning Research group, developing trading models using deep learning and NLP.
Responsibilities
- Develop sophisticated trading models using machine learning
- Manage all aspects of the research process including data ingestion, analysis, methodology selection, implementation, testing, prototyping, and performance evaluation
Requirements
- PhD or PhD candidate in machine learning, computer science, statistics, or a related field
- Nice to have: experience in a data driven research environment
- Nice to have: experience with financial models
- Nice to have: interest in applying machine learning to finance