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 worlds 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

• Collecting, preparing, and analyzing operational and treading data to support business decisions and improve operational functions
• Developing and maintaining dashboards, reports, and management information to monitor key operational metrics and identify trends or exceptions
• Performing data quality checks and investigating discrepancies across trade, position, cash, and reference data, ensuring the accuracy and integrity of operational information
• Supporting the analysis of the trade lifecycle, including reconciliations, settlements, and post-trade processes, helping to identify opportunities for process improvements
• Collaborating across teams to gather business requirements and deliver data-driven solutions for operational challenges
• Assisting in automating recurring reports and manual workflows using SQL, Python, Excel, or business intelligence tools to improve scalability and reduce operational risk.
• Documenting data sources, reporting processes, and analytical methodologies to ensure consistency, transparency, and effective knowledge sharing
• Contributing to projects focused on enhancing operational processes, strengthening controls, and improving data governance across the firm

Qualifications

• Currently pursuing a degree in data analytics, statistics, or a similar discipline
• Proficiency with Python and its common numerical/predictive libraries (numpy, pandas, etc.)
• Proficiency with relational databases such as SQL, as well as data visualization tools is desired
• Strong analytical and communication skills
• An interest in business analytics

Benefits

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:

• Free breakfast, lunch, and snacks daily
• Exciting networking and social events

At Tower, youll 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.