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.