Quantitative Research Engineer

Marsbridge Capital Limited; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Marsbridge Capital Limited is seeking a Quantitative Research Engineer to bridge cutting-edge research and high-performance systems. You will work with researchers to implement, optimize, and backtest complex trading strategies using C++ and Python. The role emphasizes production-quality code, low-latency optimization, and robust data-driven experimentation.

Join a team that values ownership and practical impact, with opportunities across research and production environments.

Qualifications

• Implement sophisticated trading models in high-performance C++ and Python.
• Develop and enhance our high-fidelity backtesting and simulation platform.
• Optimize code for low-latency and high-throughput execution.
• Assist in the research process by providing a strong engineering and system perspective.

Responsibilities

• Implement sophisticated trading models in high-performance C++ and Python.
• Develop and enhance our high-fidelity backtesting and simulation platform.
• Optimize code for low-latency and high-throughput execution.
• Assist in the research process by providing a strong engineering and system perspective.

Skills

C++

Python

Low latency

Backtesting

Tools

Git

Linux

Job description

Enjoy ownership, mentorship, flexibility, and the chance to make a real impact, beyond just a paycheck.

We welcome talented engineers and researchers. Explore our roles, including project-based opportunities and internships.

Join our team

Quantitative Research Engineer

You are the bridge between cutting-edge research and high-performance reality. You willpartner with quantitative researchers to implement, optimize, and backtest complex tradingstrategies, focusing on C++ and Python performance.

Key responsibilities

• Implement sophisticated trading models in high-performance C++ and Python.
• Develop and enhance our high-fidelity backtesting and simulation platform.
• Optimize code for low-latency and high-throughput execution.
• Assist in the research process by providing a strong engineering and systemsperspective.

Our culture / Why work with us

Work with us, grow with us, win with us

Evidence before conviction

Test investment ideas, challenge assumptions and let robust validation guide decisions.

From research to working systems

Connect financial research with clean data, reproducible backtests and dependable tools clients can use.

Own a problem, share what you learn

Collaborate directly with researchers and engineers, take responsibility and share findings, including what didn’t work.