Tower Research Capital
Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch and snacks daily In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Volunteer opportunities and charitable giving Social events, happy hours, treats and celebrations throughout the year Workshops and continuous learning opportunities At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together. Tower Research Capital is an equal opportunity employer


Technology
Tower Research Capital is a leading quantitative trading firm that leverages advanced technology and sophisticated mathematical models to identify and capitalize on inefficiencies across global financial markets. Specializing in high-frequency trading and other proprietary strategies, the firm operates at the forefront of innovation, continuously developing and optimizing its robust trading infrastructure. With a focus on rigorous research and a deep understanding of market microstructure, Tower Research Capital maintains a competitive edge through its commitment to technological excellence and data-driven decision-making. The firm's success is rooted in its collaborative environment, attracting top talent in quantitative finance, computer science, and engineering to solve complex challenges and drive continuous growth in the dynamic world of algorithmic trading.