Quantitative Developer, C++ - Trading Teams EMEA in London

Quantitative Developer, C++ - Trading Teams EMEA in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Dormont Manufacturing Co

At a Glance

  • Tasks: Design and implement a high-frequency trading platform while optimising algorithms for better performance.
  • Company: Join Tower Research Capital, a leading proprietary trading firm with a collaborative culture.
  • Benefits: Enjoy generous paid time off, hybrid work options, and daily free meals.
  • Other info: Dynamic environment with opportunities for continuous learning and career growth.
  • Why this job: Make a real impact in finance with cutting-edge technology and a supportive team.
  • Qualifications: Strong C++ skills and problem-solving abilities; Python experience is a plus.

The predicted salary is between 70000 - 90000 £ per year.

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.

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 require 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.

Quantitative Developer, C++ - Trading Teams EMEA in London employer: Dormont Manufacturing Co

Tower Research Capital is an exceptional employer, offering a dynamic and collaborative work environment in the heart of London. With a strong emphasis on employee growth, the firm provides generous benefits including hybrid working opportunities, wellness experiences, and continuous learning workshops, all while fostering a culture that values respect and teamwork. Join us to be part of a diverse team where your contributions are recognised and celebrated, making every day both challenging and enjoyable.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

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We think you need these skills to ace Quantitative Developer, C++ - Trading Teams EMEA in London

C++
Data Structures
Algorithms
Object-Oriented Programming
Low Latency Trading Systems
Backtesting Research Platforms
Parallel Computation

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