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About the Role
Contribute to the research and development of fully autonomous trading agents with researchers, traders, and technologists. Explore market data, research AI approaches, and apply machine learning and statistical methods to discover trading opportunities.
Responsibilities
- Contribute to the research and development of fully autonomous trading agents.
- Explore vast amounts of market data.
- Research different AI approaches.
- Apply cutting edge machine learning algorithms and statistical approaches to data.
- Discover and capitalize on trading opportunities.
Requirements
- 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.
- Innate curiosity for understanding why and how certain techniques work.
- 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 NeurIPS, ICML, etc.
- Interest and enthusiasm for learning about financial markets (previous experience not required).
Skills
- C++
- Python
- Linux
- Statistical analysis
- Machine learning
- Classification
- Clustering
- Regression
- AI
- Deep learning
- Time-series analysis
- Numerical analysis
- Python (numpy/scipy stack)
Location
- New York
Work Type
- Internship
Experience Level
- PhD
- Master's Degree
Education Level
- PhD
- Master's Degree
Salary/Compensations
- $3000 - $4500 weekly
Benefits
- Ping pong and poker games
- Fun team outings
- Unlimited office snacks
- Free breakfast, lunch, and dinner
About the Company
- Vatic Labs is a quantitative trading firm.
- Traders, AI researchers, and technologists collaborate to develop autonomous trading agents and cutting edge technology.
- Fosters an open and academic environment where collaboration is key.
- Applies rigorous analytics to test hypotheses derived from years of successful quantitative trading.
- Passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful.
- Promotes a fun environment.