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Vatic Investments

Quantitative trading with autonomous AI agents

AI Research Intern

AI ResearchPosted on Nov 3
Internship · Summer 2027New York, NY, USA$75 - $112.50 /hrIn-person

About the Job

Requirements

  • Earned or will earn a PhD or Master's degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or a related field.
  • Demonstrable experience coding in C++ or Python in a Linux environment.
  • Experience analyzing large datasets with statistical and machine learning approaches, including classification, clustering, and regression.
  • In-depth technical knowledge of artificial intelligence, deep learning, and machine learning algorithms, including their mathematical underpinnings.
  • Deep knowledge of time-series analysis.
  • Advanced knowledge of a high-level language for numerical analysis.

Responsibilities

  • Contribute to research and development of fully autonomous trading agents.
  • Explore large amounts of market data and research artificial intelligence approaches.
  • Apply machine learning algorithms and statistical approaches to market data to discover and capitalize on trading opportunities.

Desired Qualifications

  • Advanced knowledge of Python and the NumPy/SciPy stack is preferred.
  • Contributions to artificial intelligence and machine learning research communities, peer-reviewed publications, or papers presented at conferences such as NeurIPS and ICML.
  • Interest and enthusiasm for learning about financial markets; prior experience is not required.

About the Company

Vatic Investments

Quantitative trading with autonomous AI agents

Vatic Investments operates as a quantitative trading firm where traders, AI researchers, and technologists collaborate to create autonomous trading agents and advanced technology for financial markets. Its products use proprietary algorithms and AI to analyze data, predict market moves, and automatically execute trades, aiming to improve market efficiency and transparency. The company differentiates itself by combining cross-disciplinary expertise and in-house, data-driven trading systems that operate autonomously, rather than relying on manual strategies alone. Its goal is to deliver superior trading solutions and insights while generating profits from data-driven trading activities.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2013

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