Senior Software Engineer - Leading Global High Frequency Trading Firm – Excellent Compensation + Benefits

Mondrian Alpha; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Mondrian Alpha is seeking an experienced Software Engineer to join its systematic trading team. The role involves hands-on work across research-to-production lifecycle, building trading systems, market data connectivity, and analytics infrastructure using Python and C++.

You will collaborate with quantitative researchers and traders, own projects end-to-end, and contribute to highly available distributed systems with low latency requirements in a globally distributed setup.

Qualifications

• 5+ years of professional software engineering experience using Python or C++.
• Proven experience building complex, business-critical software that is reliable and maintainable.
• Experience developing highly available distributed systems with tight latency constraints.
• Understanding of computer networking and the trade-offs involved in system design.
• Knowledge of type systems, fundamental statistics and numerical methods.
• Previous experience developing software within a trading environment.
• Strong communication skills, initiative and a desire to continuously learn.
• Experience working with quantitative researchers is advantageous.
• Familiarity with machine learning concepts, functional programming, Cython or integrating Python and C++ is a plus.

Responsibilities

• Design, develop and maintain software supporting research, trading and post-trade workflows.
• Build systems for market data processing, signal computation, portfolio optimisation and execution management.
• Develop and improve trading infrastructure, monitoring and observability tooling.
• Test and document software to ensure reliability, maintainability and performance.
• Collaborate closely with quantitative researchers, traders and fellow engineers.
• Take ownership of projects from initial requirements through to delivery, with on-call support as required.

Skills

Strong communication

Collaboration

Ownership

On-call mindset

Learning mindset

Tools

Python

C++

Job description

I'm working with a leading global proprietary trading firm that is seeking an experienced Software Engineer to join its systematic trading team.

This is a hands-on engineering role supporting fully systematic, multi-asset trading strategies across global markets. You will work closely with software engineers, quantitative researchers and traders, with broad ownership across the research-to-production lifecycle.

The role will involve building and enhancing trading systems, market data connectivity, execution algorithms and research infrastructure, primarily using Python and C++. You will also contribute to signal computation, portfolio optimisation, post-trade analysis and monitoring tools, working within highly available distributed systems with demanding latency requirements.

Responsibilities:

• Design, develop and maintain software supporting research, trading and post-trade workflows.
• Build systems for market data processing, signal computation, portfolio optimisation and execution management.
• Develop and improve trading infrastructure, monitoring and observability tooling.
• Test and document software to ensure reliability, maintainability and performance.
• Collaborate closely with quantitative researchers, traders and fellow engineers.
• Take ownership of projects from initial requirements through to delivery, with on-call support as required.

Requirements:

• 5+ years of professional software engineering experience using Python or C++.
• Proven experience building complex, business-critical software that is reliable and maintainable.
• Experience developing highly available distributed systems with tight latency constraints.
• Understanding of computer networking and the trade-offs involved in system design.
• Knowledge of type systems, fundamental statistics and numerical methods.
• Previous experience developing software within a trading environment.
• Strong communication skills, initiative and a desire to continuously learn.
• Experience working with quantitative researchers is advantageous.
• Familiarity with machine learning concepts, functional programming, Cython or integrating Python and C++ is a plus.

My client offers an attractive compensation package alongside excellent benefits, with the opportunity to join a highly technical trading environment where engineers have significant autonomy, work directly with quantitative researchers and contribute to sophisticated systematic strategies.