Quantitative Trader Intern (Master's/PhD 2024)

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.