Low-Latency Quant Backend Engineer (Trading)

Goldman Sachs; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Goldman Sachs in London is seeking a quantitative developer to design, build, and maintain high-performance trading software and analytics. You will work closely with traders and sales teams to translate requirements into robust, low-latency solutions.

The role requires an advanced degree in CS or FT, 2-5 years of experience, and proficiency in Java or C++. Strong communication and teamwork are essential as you monitor strategy performance and adapt to evolving market needs.

Qualifications

• Advanced degree in a relevant technical field such as Computer Science or Financial Technology.
• 2-5 years of relevant work experience.
• Proficiency in either Java or C++.
• Strong communication skills and the ability to work as part of a team.

Responsibilities

• Design, build, and maintain high-performance, yet nimble and adaptive trading strategies for internal and external clients.
• Monitor trading performance for strategies daily and build algo customization based on clients’ needs.
• Utilize deep understanding of market structure, regulations, exchange service offerings and implement changes to these on an on-going basis.
• Communicate with traders, sales, clients, and compliance officers about new feature requests, explanation of existing features, etc.

Skills

Java

C++

Education

Advanced degree in Computer Science or Financial Technology

Job description

Goldman Sachs in London is seeking a quantitative developer to design, build, and maintain high-performance trading software and analytics. You will work closely with traders and sales teams to translate requirements into robust, low-latency solutions.

The role requires an advanced degree in CS or FT, 2-5 years of experience, and proficiency in Java or C++. Strong communication and teamwork are essential as you monitor strategy performance and adapt to evolving market needs.