Software Engineer, Trading Systems (C++)

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

Architect and evolve the trading platform to support the changing needs of quantitative research, simulation, and production trading, with particular emphasis on market data and execution systems. Partner closely with quantitative researchers, traders, and software engineers to design, implement, and deploy systematic trading strategies. Design and develop high-performance trading infrastructure responsible for collecting market data, processing trading signals, and routing orders to exchanges around the world.

Build frameworks and tools that enable researchers to rapidly prototype, backtest, analyze, and deploy new trading strategies. Develop scalable systems that provide efficient access to live and historical market data for research, simulation, and production use cases. Collaborate with researchers to translate quantitative models into robust, maintainable production systems.

Lead development efforts across the strategy lifecycle, from research tooling and data infrastructure to production deployment and monitoring. Optimize trading and research systems through low-latency software design, network programming, performance analysis, and systems-level engineering. Create tools and analytics that help identify market patterns, evaluate strategy performance, and improve trading decisions.

Build risk management, monitoring, and performance attribution systems used by researchers and traders. Investigate production trading behavior and partner with strategy teams to diagnose performance, execution, and market data issues. Contribute to the architecture of shared platforms that improve productivity across research, development, and trading teams.

Qualifications

Degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field. Strong foundation in algorithms, data structures, distributed systems, and software design. Excellent programming skills in C++, with experience in Python strongly preferred.

Interest in financial markets, systematic trading, and quantitative research workflows. Experience building high-performance systems, data-intensive applications, or low-latency software. The ability to collaborate effectively with quantitative researchers, traders, and engineers to solve complex technical and analytical problems.

Strong analytical and problem-solving abilities with a focus on both correctness and performance. Comfortable managing multiple projects and priorities in a fast-paced environment.