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An innovative firm is seeking talented Quantitative Researchers to join their dynamic trading teams. This role offers the chance to leverage advanced statistical and machine learning techniques to develop and deploy cutting-edge trading strategies. You'll work collaboratively on challenging problems that span the entire business, making a significant impact in a supportive, cubicle-free environment. Enjoy generous benefits, including extensive paid vacation, wellness reimbursements, and daily meals, while being part of a company that values quality of life and professional growth. If you're passionate about quantitative research and ready to drive results, this opportunity is perfect for you.
Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks talented and experienced Quantitative Researchers in New York.
As a Quantitative Researcher in one of Tower’s trading teams, you will use Tower’s in-house research and trading platform—one of the fastest and most comprehensive in the world—to build and deploy systematic trading strategies. Our researchers use statistical and machine learning techniques to uncover patterns in market behavior used to build predictive models, formalize and solve optimization problems to create trading strategies, and are involved in the entire process from idea generation to production results.
This is a new team operating on a collaborative basis, with a rare opportunity to work on challenging problems across the full business scope and have outsized impact.
Location is flexible for the right candidate, though New York or Hong Kong are preferred.
Anticipated New York and Chicago annual base salary range $120,000- $200,000, plus eligible for bonus(es).
Tower’s headquarters are in FiDi, the heart of downtown Manhattan, at the historic Equitable Building. While we work hard, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the value the firm places on quality of life. Benefits include:
Tower Research Capital is an equal opportunity employer.