Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Master's/PhD Quantitative Trader Intern to join our team.

Responsibilities:

  • Designing, implementing, and deploying machine learning algorithms and systems
  • Building prototypes and exploring innovative solutions using machine learning
  • Exploring trading ideas by analyzing market data 

Qualifications: 

  • A Master's or PhD in a quantitative discipline 
  • Solid understanding of probability and statistics (machine learning, time-series analysis, pattern recognition, LLM)
  • At least 2 years of applicable research experience (applied machine learning techniques, specific to time-series data)
  • Experience with at least one of the Big Data tools (Hive sql/Spark/MapReduce)
  • Experience with at least one of the Deep Learning tools (Tensorflow/Pytorch)
  • Familiarity with deep learning 
  • Strong problem-solving abilities and communication skills 
  • The ability to manage multiple tasks in a fast-paced environment
  • Financial experience is not required, but interest in financial markets is a plus.

Anticipated New York weekly base salary range $3,000-5,000.

Tower’s dual offices and garden roof decks are located in TriBeCa and SoHo, neighborhoods in downtown Manhattan. While we work hard, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include:

  • Free breakfast, lunch, and snacks on a daily basis
  • Free events and workshops

Tower Research Capital is an equal opportunity employer.

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