Senior Trading & Risk Software Engineer – High-Performance

Goldman Lloyds International; Greater London; Vor Ort; GBP 120.000 - 180.000; Vollzeit

Zusammenfassung

Leading London-based hedge fund is seeking a Senior Software Engineer to build high‑performance trading and risk technology. You will work directly with Portfolio Managers, Quant Researchers and Risk professionals on complex systems at scale.

The role emphasizes CS fundamentals, engineering quality and hands-on development across distributed architectures and real‑time data processing in a fast-paced financial environment.

Qualifikationen

• 5+ years of professional software engineering experience.
• Strong skills in C#/.NET, Java or C++.
• Excellent knowledge of algorithms and data structures.
• Experience with high-performance, multi-threaded or data-intensive apps.
• Backend architecture, APIs, concurrency and optimization expertise.
• Strong CS/Math background and production-grade software delivery.
• Ability to communicate with technical and investment stakeholders.

Aufgaben

• Design and develop high-performance, scalable applications for trading and risk.
• Build algorithms, distributed frameworks and data processing systems.
• Develop services for real-time market data, P&L and risk calculations.
• Engineer robust APIs and backend infrastructure for analytics.
• Improve performance, concurrency, memory use and reliability.
• Collaborate with PMs, quants and risk teams to deliver tech solutions.
• Take ownership of system architecture and production delivery.

Kenntnisse

C#/.NET

Java

C++

Distributed systems

Data-intensive apps

Algorithms

Multithreading

API design

Cloud platforms

Ausbildung

Bachelor's degree in CS/CE/Math

Jobbeschreibung

Leading London-based hedge fund is seeking a Senior Software Engineer to build high‑performance trading and risk technology. You will work directly with Portfolio Managers, Quant Researchers and Risk professionals on complex systems at scale.

The role emphasizes CS fundamentals, engineering quality and hands-on development across distributed architectures and real‑time data processing in a fast-paced financial environment.