Real-Time Financial Systems Engineer

Hunter Bond

Greater London

In loco

GBP 100.000 - 160.000

Tempo pieno

25 ore fa
Candidati tra i primi

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Descrizione del lavoro

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,

Competenze

  • 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.

Mansioni

  • 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.

Conoscenze

Distributed systems
High-performance
Real-time data
Latency-sensitive
Ownership mindset

Formazione

Bachelor's degree in Computer Science

Descrizione del lavoro

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,

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