Developing fully autonomous trading agents using cutting-edge machine learning and artificial intelligence algorithms.
Requirements
- C++ or Python programming skills in a Linux environment
- In-depth technical knowledge of AI, deep learning, and machine learning algorithms
- Strong knowledge of the mathematical underpinnings behind AI, deep learning, and machine learning methods
- Advanced knowledge of a high-level language for numerical analysis, Python (numpy/scipy stack) preferred
- Experience with time-series analysis
- Experience analyzing large datasets with rigorous statistical and machine learning approaches
- Contribution to AI and ML research communities through top-tier peer reviewed publications and conference presentations
Responsibilities
- Apply cutting edge machine learning and artificial intelligence algorithms to vast amounts of market data to discover and capitalize on trading opportunities
- Analyze large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression
- Conduct time-series analysis
- Develop and implement AI, deep learning, and machine learning algorithms
- Collaborate with researchers, traders, and technologists to develop fully autonomous trading agents
- Apply rigorous analytics to test hypotheses derived from years of successful quantitative trading
- Contribute to AI and ML research communities through top-tier peer reviewed publications and conference presentations
Other
- Earned or will earn a PhD or Master's Degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields
- Innate curiosity for understanding why and how certain techniques work
- Interest and enthusiasm for learning about financial markets
- Ping pong and poker games, fun team outings, unlimited office snacks, free breakfast, lunch, and dinner, gym membership, full health insurance coverage for employees and dependents
