- New York
Quantitative researcher for the Cubist Machine Learning Research group, developing trading models using machine learning and natural language processing.
Responsibilities
- Develop sophisticated trading models using machine learning
- Manage all aspects of the research process including data ingestion, processing, analysis, methodology selection, implementation, testing, prototyping, and performance evaluation
- Construct and develop features from raw data
- Estimate effectiveness of features
- Implement full breadth of knowledge in research and development of financial models
Requirements
- PhD or PhD candidate in machine learning, computer science, statistics, or a related field