Realtime Quant Platform Engineer: Scale & Research
G-Research
Greater London
On-site
GBP 60,000 - 80,000
Full time
14 days+
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Benefits offered by this job
Highly competitive compensation
Lunch provided
35 days’ annual leave
9% company pension contributions
Comprehensive healthcare and life assurance
Job summary
G-Research, located in Greater London, seeks a Software Engineer in Realtime Quant Frameworks. This role involves building systems that support high-performance research, leveraging F#, Python, and Kubernetes. Ideal candidates will have strong software engineering backgrounds and familiarity with distributed systems. Benefits include competitive compensation, a discretionary bonus, and 35 days of annual leave, alongside a supportive work environment. Join us to innovate in quantitative finance and contribute to meaningful projects.
Qualifications
Extensive background in software engineering, ideally in distributed or high-performance systems.
Experience with F#, C#, Python or similar languages in production environments.
Familiarity with modern backend and cloud-native technologies including Kubernetes and relational databases.
Responsibilities
Build systems that reduce the complexity of running workloads across massive compute farms.
Contribute to a TypeScript/React UI backed by an F# ASP.NET service.
Extend tooling and frameworks enabling quants to build and deploy research platforms.
Skills
Software engineering background
Experience with F#
Experience with C#
Experience with Python
Kubernetes familiarity
Strong problem-solving skills
Tools
Postgres
TypeScript
React
Job description
G-Research, located in Greater London, seeks a Software Engineer in Realtime Quant Frameworks. This role involves building systems that support high-performance research, leveraging F#, Python, and Kubernetes. Ideal candidates will have strong software engineering backgrounds and familiarity with distributed systems. Benefits include competitive compensation, a discretionary bonus, and 35 days of annual leave, alongside a supportive work environment. Join us to innovate in quantitative finance and contribute to meaningful projects.