Summary
The job involves contributing to the research and development of autonomous trading agents for a quantitative trading firm in New York. The ideal candidate has a Masters or Ph.D. in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields, experience coding in C++ or Python in a Linux environment, knowledge of AI, deep learning, and machine learning algorithms, and a strong background in time-series analysis and numerical analysis using Python. The company offers benefits such as fun team outings, ping pong and poker games, unlimited office snacks, free meals, and a focus on fostering an academic environment.
Requirements
- Earned or will earn a Masters or Ph.D. in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields
- Demonstrable experience coding in C++ or Python in a Linux environment
- Experience analyzing large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression
- In depth technical knowledge of AI, deep learning, and machine learning algorithms including strong knowledge of the mathematical underpinnings behind these various methods
- Have innate curiosity for understanding why and how certain techniques work
- Have deep knowledge of time-series analysis
- Advanced knowledge of a high-level language for numerical analysis, Python (numpy/scipy stack) preferred
- Contribution to AI and ML research communities, top tiered peer reviewed publications, publishing/presenting papers at conferences such as NIPS, ICML, etc
- Have an interest and enthusiasm for learning about financial markets (previous experience not required)
Responsibilities
Contribute to the research and development of autonomous trading agents
Benefits
- Fun team outings
- Ping pong and poker games
- Unlimited office snacks
- Free breakfast, lunch, and dinner
