Job description

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities Working closely with quantitative traders and software developers to operate and supervise our automated trading strategies Monitoring production trading for risk and compliance issues and quickly responding to unusual behaviors or market conditions Proactively troubleshooting and resolving issues related to day-to-day trading activities Developing programming scripts and applications to automate and facilitating our trading system Analyzing production trades and market data, and developing ideas to improve our trading strategies Working a late evening schedule to provide trading and production support aligned with relevant market hours Qualifications A bachelor’s degree in a technical or quantitative field, such as computer science, engineering, mathematics, physics, or a related field Prior experience in a trade monitoring, trading, or trade support role is preferred Strong analytical and problem-solving skills, with the ability to analyze trading data, investigate issues, and draw actionable conclusions Good understanding of futures markets, including products, trading venues, market structure, and risk management Good understanding of algorithmic trading technology and architecture, including UNIX/Linux environments and monitoring applications Experience with Python to support existing infrastructure and identify areas for improvement Ability to work effectively on complex tasks, take initiative, and assume increasing responsibility over time Excellent communication skills and fluency in English Anticipated New York annual base salary range $120,000- $200,000, plus eligible for bonus(es). Benefits 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) Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR 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.

Requirements

Must-haves

At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.
Working closely with quantitative traders and software developers to operate and supervise our automated trading strategies
Monitoring production trading for risk and compliance issues and quickly responding to unusual behaviors or market conditions
Proactively troubleshooting and resolving issues related to day-to-day trading activities
Developing programming scripts and applications to automate and facilitating our trading system
Analyzing production trades and market data, and developing ideas to improve our trading strategies
Working a late evening schedule to provide trading and production support aligned with relevant market hours
A bachelor’s degree in a technical or quantitative field, such as computer science, engineering, mathematics, physics, or a related field
Strong analytical and problem-solving skills, with the ability to analyze trading data, investigate issues, and draw actionable conclusions
Good understanding of futures markets, including products, trading venues, market structure, and risk management
Good understanding of algorithmic trading technology and architecture, including UNIX/Linux environments and monitoring applications
Experience with Python to support existing infrastructure and identify areas for improvement
Ability to work effectively on complex tasks, take initiative, and assume increasing responsibility over time
Excellent communication skills and fluency in English

Nice-to-haves

Prior experience in a trade monitoring, trading, or trade support role is preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Paid Time Off

Wellness