Python Developer - London - Up to £160,000 Starting Base + Exceptional Bonuses/Benefits

Hunter Bond; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Hunter Bond is seeking an engineer to join a small, specialised team responsible for a real-time risk and trading data platform powering systematic strategies.

You will work at the intersection of distributed systems, market data, and quantitative trading, designing high-reliability platforms handling large volumes with strict latency and accuracy requirements. You will own systems end-to-end in a latency-sensitive environment.

Qualifications

• Strong CS fundamentals (degree in CS or equivalent).
• 4+ years building production software or data systems.
• Experience with high-volume data pipelines and distributed services.
• Ownership mindset to take complex systems from design to production.

Responsibilities

• Engineer high-performance, distributed systems that power real-time risk and trading data.
• Build scalable analytics platforms and data pipelines for risk and P&L insights.
• Architect mission-critical trading infrastructure to automate workflows across derivatives and multi-asset portfolios.
• Solve hard engineering problems at the intersection of systems and finance with traders and researchers.
• Own systems end-to-end from architecture and deployment to reliability and evolution in a latency-sensitive environment.

Skills

Distributed systems

Data pipelines

Production software

Ownership mindset

Education

Bachelor's degree in Computer Science

Job description

The Opportunity:

We're looking to add a high-impact engineer to a small, specialised team responsible for the real-time risk and trading data platform that powers systematic strategies across the firm.

You’ll operate at the intersection of distributed systems, market data, and quantitative trading, designing high-reliability platforms that process large volumes of trading activity with strict latency and accuracy requirements.

Your Responsibilities (Full Spec Avail):

• Engineer high-performance, distributed systems that power real-time portfolio intelligence across complex, multi-asset trading environments.
• Build scalable analytics platforms and data pipelines that turn high-volume financial data into actionable insights on risk and P&L.
• Architect mission-critical trading infrastructure to automate complex lifecycle workflows across derivatives and multi-asset portfolios.
• Solve hard engineering problems at the intersection of systems and finance, working directly with traders and quantitative researchers to bring sophisticated strategies and analytics into production.
• Own systems end-to-end, from architecture and performance optimisation to deployment, reliability, and continuous evolution in a latency-sensitive, business-critical environment.

About You:

• Strong CompSci fundamentals (degree ideally in CompSci or equivalent)
• 4+ years building production software or data systems
• Comfortable working with high-volume data pipelines, distributed services, or performance-sensitive platforms
• Ownership mindset with the ability to take complex systems from design to production

Ready to build software where performance matters and every microsecond counts?