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Quantitative Researcher (Internship)

Vatic Labs

$3,000 - $4,500
Sep 4, 2025
New York, NY, US
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Vatic Labs is looking to solve the problem of developing fully autonomous trading agents and cutting-edge technology by exploring vast amounts of market data, researching different AI approaches, and applying machine learning algorithms and statistical approaches to discover and capitalize on trading opportunities.

Requirements

  • Demonstrable experience coding in C++ or Python in a Linux environment
  • Have 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 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.

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 this data to discover and capitalize on trading opportunities
  • Analyze large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression
  • Apply rigorous analytics to test hypotheses derived from years of successful quantitative trading

Other

  • Earned or will earn a PhD or Master's Degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields
  • Have innate curiosity for understanding why and how certain techniques work
  • Have an interest and enthusiasm for learning about financial markets (previous experience not required)
  • Collaboration is the key to our success.
  • We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful.