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

Hunter Bond; Greater London; Presencial; GBP 100.000 - 160.000; Jornada completa

Descripción de la vacante

Hunter Bond is seeking a high-impact software engineer to join a compact, specialised team responsible for a real-time risk and trading data platform powering systematic strategies across the firm. You will work at the intersection of distributed systems, market data, and quantitative trading, designing reliable platforms that handle large trading volumes with strict latency and accuracy requirements.

In this role you will own systems end-to-end, from architecture and optimization to deployment,

Formación

• Bachelor's degree in Computer Science or equivalent.
• 4+ years building production software or data systems.
• Experience with high-volume data pipelines or distributed services.
• Ownership mindset with ability to take systems from design to production.

Responsabilidades

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

Conocimientos

Distributed systems

High-performance

Real-time data

Latency-sensitive

Ownership mindset

Educación

Bachelor's degree in Computer Science

Descripción del empleo

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?