Functional Programmer

G-Research; Greater London; On-site; GBP 60,000 - 80,000; Full time

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

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.

From our London HQ, we unite world‑class researchers and engineers in an environment that values deep exploration and methodical execution — because the best ideas take time to evolve. Together we’re building a world‑class platform to amplify our teams’ most powerful ideas.

As part of our engineering team, you’ll shape the platforms and tools that drive high‑impact research – designing systems that scale, accelerate discovery and support innovation across the firm.

Take the next step in your career.

The role

We operate an advanced systematic client trading platform. Its systems are fully automated, globally distributed and operate at extreme scale — executing millions of trades per day. Ensuring platform resilience, uptime and operational efficiency is mission‑critical.

As a Software Engineer in Realtime Quant Frameworks, you’ll play a key role in helping our quant researchers move faster across our large scale compute estate — building systems that reduce the complexity of running workloads across massive compute farms and providing real‑time support to keep research running smoothly and efficiently.

A key part of the role focuses on our core scheduling platform, written in F#, which distributes huge workloads across the compute farm and is accessed via Python and .NET SDKs — the main interface our quants use day‑to‑day.

You’ll contribute to a TypeScript/React UI, backed by an F# ASP.NET service with a Postgres database on Kubernetes, giving real‑time visibility into workload progress.

Beyond that, you’ll help extend our tooling and frameworks that enable quants to build and deploy research platforms and express computations over streaming data — creating flexible, high‑performance systems that go well beyond the quant finance domain.

Who are we looking for?

The ideal candidate will have the following skills and experience:

• An extensive background in software engineering, ideally in distributed or high‑performance systems
• Experience with F#, C#, Python or similar languages in production environments
• Experience working with Python in research or data‑driven workflows
• Familiarity with modern backend and cloud‑native technologies including Kubernetes and relational databases
• Strong problem‑solving skills and ability to work closely with quantitative researchers

Why should you apply?

• Highly competitive compensation plus annual discretionary bonus
• Lunch provided (via Just Eat for Business) and dedicated barista bar
• 35 days’ annual leave
• 9% company pension contributions
• Informal dress code and excellent work/life balance
• Comprehensive healthcare and life assurance
• Monthly company events

G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas‑driven business and we place great value on diversity of experience and opinions.

We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.