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

Hunter Bond; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Hunter Bond seeks a highly capable engineer to join a small, specialised team responsible for a real-time risk and trading data platform powering systematic strategies. You will design high-reliability platforms handling large trading volumes with strict latency and accuracy requirements.

The role sits at the intersection of distributed systems, market data, and quantitative trading, with ownership of end-to-end systems in a mission-critical environment.

Qualifications

• 4+ years building production software or data systems.
• Comfortable with high-volume data pipelines and distributed services.
• Ownership mindset to take complex systems from design to production.

Responsibilities

• Build high-performance data services and pipelines for real-time portfolio monitoring.
• Develop tools for risk, exposures, and performance analysis for investment teams.
• Automate critical trading lifecycle workflows across derivatives and multi-asset portfolios.
• Collaborate with traders and quantitative researchers.
• Own end-to-end systems in a mission-critical trading environment.

Skills

CS fundamentals

Distributed systems

High-volume data

Performance-sensitive

Ownership mindset

Education

Bachelor's degree in Computer Science

Tools

Kafka

Spark

Java/Scala

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):

• Build high-performance data services and pipelines that power real-time portfolio monitoring
• Develop tools used by investment teams to analyse risk, exposures, and performance
• Automate critical trading lifecycle workflows across derivatives and multi-asset portfolios
• Partner closely with traders and quantitative researchers
• Own systems end-to-end within a mission-critical trading 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?