Applying, adapting, and extending existing results in machine learning to solve financial market and human behavior problems
Requirements
- Strong scientific programming in Python, R or Matlab
- Superb analytical and quantitative skills
- Demonstrated ability to conduct independent research utilizing large data sets
- Empirical, detail-oriented mindset
Responsibilities
- Applying, adapting, and extending existing results in machine learning
- Conducting novel research as required
- Managing all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation
Other
- Students enrolled in a PhD program in machine learning, computer science, statistics, or a related field
- Passion for seeing research through from initial conception to eventual application
- Curiosity about financial markets
- Sense of ownership of his/her work, working well both independently and within a small collaborative team
