Quantitative Developer, Python - Trading Teams EMEA

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.

Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quant Developer to join one of its trading teams in London. You will be joining the EMEA Development team and as a Quant Developer, you will be in charge of improving the current research framework through the development of existing and new tools, and provide close day-to-day support to the quantitative research team on-site.

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• Iterating quickly with on-site quantitative researchers on the research processes in order to improve the desk's quantitative trading strategies P&L
  
• Developing Python tools used in trading strategies research
  
• Improving the existing simulation/backtest framework
  
• Monitoring & maintenance of quantitative research jobs
  
• Help global research team on EMEA-related research through various communication channels
  

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• Bachelor's, Masters or PhD in Computer Science, Engineering, or a related field (or equivalent practical experience)
  
• Excellent knowledge of Python language and statistical libraries like Numpy, Pandas, Polars
  
• Demonstrable experience in Python in a production environment
  
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative and geographically distributed environment
  
• Excellent communication and teamwork abilities
  
• Experience with workflow management and task scheduling
  
• Experience in C++, Scripting languages such as Bash, and/or financial markets is preferred but not required
  

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• 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.