At a Glance
- Tasks: Design and implement a high-frequency trading platform while optimising machine learning algorithms.
- Company: Join Tower Research Capital, a leading quantitative trading firm with a collaborative culture.
- Benefits: Enjoy generous paid time off, hybrid work options, and free meals daily.
- Other info: Experience a friendly workplace with continuous learning and social events.
- Why this job: Make an impact in a fast-paced environment with top-tier engineering talent.
- Qualifications: Strong C++ skills and problem-solving abilities; Python experience is a plus.
The predicted salary is between 60000 - 80000 £ per year.
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
- Designing and implementing a low latency high-frequency trading platform
- Assisting in the development of a tick by tick backtesting research platform
- Assisting in development and optimizing large-scale parallel computation problems that requires large quantities of data shared across resources
- Optimizing the computational efficiency of existing machine learning based algorithms to drive higher performance and faster learning rates
- Developing systems, interfaces and tools to historical market data and trading simulations that increase research productivity
- Creating tools to analyze data and generate insights that research decisions are based on
Qualifications
- Bachelor's, Masters or PhD in Computer Science, Engineering, or a related field (or equivalent practical experience)
- A strong background in data structures, algorithms, and object-oriented programming in C++
- Brilliant problem-solving abilities
- The ability to manage multiple tasks in a fast-paced environment
- Strong communication skills
- Python and/or financial markets experience is preferred but not required
Benefits
- 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
- 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.
