Quantitative Developer Engineers Gate · London, United Kingdom 11 hours ago

Tradermath; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Engineers Gate, based in London, seeks a Quantitative Developer to build and scale its central trading infrastructure within the Portfolio Management group. This role covers greenfield work as well as enhancing and refactoring existing systems, offering broad exposure across the trading stack and research platform.

A successful candidate will combine strong numerical and engineering skills with a passion for learning and collaboration, while following best practices across the full software

Qualifications

• Undergraduate degree in Computer Science or a related STEM discipline.
• Strong software engineering experience in a technology-driven environment.
• Proficiency in at least one modern language (Python, C++, Java).
• Solid understanding of algorithms, architecture, design patterns, and best practices.
• Strong numerical reasoning and problem-solving abilities.

Responsibilities

• Build, maintain, and monitor the existing live trading infrastructure.
• Develop and enhance the research platform and analytics tooling.
• Collaborate with researchers to bring new trading strategies into production.

Skills

Python

C++

Java

Numerical reasoning

Software engineering

Education

Undergraduate degree in Computer Science or related STEM discipline

Tools

MATLAB

AWS

Job description

Engineers Gate is a leading quantitative investment firm focused on systematic trading in global financialmarkets. Our team of researchers, developers, and financial industry professionals apply sophisticatedstatistical and machine learning models to uncover predictive signals in data and turn them into superiorinvestment returns. We believe that career fulfilment and enterprise success converge when smart, hard-working, and intellectually curious people come together in pursuit of innovation and excellence.

The Quantitative Developer will join our London Portfolio Management group and play a key role in building and scaling its central infrastructure. The work spans greenfield projects as well as enhancing and refactoring existing systems, offering immediate group-wide impact and exposure to every area of the trading system and research platform. We place a high value on continuous learning, and this role is a rare opportunity to work alongside and learn from highly experienced quantitative developers and researchers in a collaborative and innovative group. A successful candidate will combine strong numerical and engineering skills with a genuine appetite for learning new technologies. They will be comfortable working independently from high-level guidance. If you thrive in a collaborative environment, follow best practice across the full software development life cycle, and want to make a meaningful impact, we encourage you to apply.

Key Responsibilities

• Build, maintain, and monitor the existing live trading infrastructure.
• Develop and enhance the research platform and analytics tooling.
• Collaborate with researchers to bring new trading strategies into production.

Required Skills, Qualifications and Experience

• Undergraduate degree in Computer Science or a related STEM discipline.
• Production-level software engineering experience in a high-quality, technology-driven environment.
• Solid understanding of algorithms, software architecture, design patterns, and software engineering best practices.
• Proficiency in at least one modern programming language (e.g. Python, C++, Java).
• Strong numerical reasoning and problem-solving skills, with the ability to work comfortably with quantitative and scientific problems.

Desirable Skills and Experience (beneficial but not required)

• Experience with Python and/or MATLAB for numerical and scientific computing.
• Familiarity with AI-assisted development tools.
• Experience working with machine learning and quantitative research workflows.
• Exposure to cloud platforms, especially AWS