Venture Capital Intern

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 Research Ventures (TRV), the venture arm of Tower Research Capital, is dedicated to building and investing in category-defining companies with the same enthusiasm and discipline that Tower applies to public markets. We closely partner with our portfolio companies, offering a diverse set of business, technical, and financial expertise to help them reach their goals, from product development to business growth and beyond.

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:

• Assisting in ‘zero to one’ product development, building out early features, prototypes, and technical infrastructure
• Contributing to technical research and benchmarking to inform the engineering roadmap
• Evaluating the technical feasibility and scalability of product features
• Collaborating closely with cross-functional team members across engineering and venture incubations
• Participating in code reviews, technical discussions, and system architecture planning

Qualifications:

• Currently enrolled in a degree program in Computer Science, Machine Learning, Data Science, Engineering, or a related quantitative field (Master’s degree preferred, or Bachelor’s degree with equivalent experience)