Senior Software Engineer (Python) – Leading HFT Trading Firm – Excellent Compensation + Benefits

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

Working directly alongside quantitative researchers and traders, you'll help design and develop the full technology stack underpinning the firm's global trading operation. This spans trading systems, market data connectivity, execution algorithms, research infrastructure, monitoring and observability, as well as integrations with the firm's wider technology platform.

The environment is predominantly Python and requires engineers who are comfortable building highly available, distributed systems with tight latency requirements. You'll be given significant autonomy and expected to take ownership of projects from high-level requirements through to production.

Responsibilities

• Design, develop and maintain mission-critical software supporting systematic research, trading and post-trade analysis.
• Build high-performance market data, signal/feature computation, portfolio optimisation and execution management systems.
• Develop highly available distributed trading infrastructure with stringent latency requirements.
• Work directly with quantitative researchers and traders to translate high-level requirements into robust technical solutions.
• Build and enhance monitoring and observability tooling across the trading platform.
• Own projects throughout the engineering lifecycle, including design, development, testing, documentation and production support.
• Collaborate closely with researchers, traders and other software engineers across a global team.

Requirements

• 5+ years' professional software engineering experience with strong Python development skills.
• Experience building complex, mission-critical systems that are maintainable and safely refactorable.
• Strong experience with high-availability distributed systems and latency-sensitive applications.
• Good understanding of computer networking and the trade-offs involved in distributed system design.
• Practical knowledge of fundamental statistics and numerical methods.
• Previous experience developing technology within the trading domain.
• Strong communication skills, initiative and the ability to independently drive projects through to completion.
• Experience working directly with quantitative researchers is highly advantageous.
• Exposure to machine learning, functional programming, Cython or integrating Python stacks would be beneficial.

My client offers an exceptional compensation package alongside the opportunity to work on business-critical technology within one of the industry's leading quantitative investment firms. You'll join a collaborative engineering environment where technical excellence is genuinely valued and have direct ownership over systems used across the investment platform.