Quant Finance Platform Engineer

G-Research; City of Westminster; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Lunch provided

35 days annual leave

9% pension contributions

Healthcare and life assurance

Cycle-to-work

Monthly company events

Informal dress code

Job summary

G-Research in London invites engineers to shape platforms and tools that accelerate quantitative research. Work alongside world‑class researchers to build scalable systems using C# and Python in our own datacentres, boosting discovery and innovation.

You’ll own features end‑to‑end, optimise performance for 24/6 trading workflows, and contribute to core simulations and research tooling. The role demands solid fundamentals, strong architectural sense, and a collaborative mindset to deliver

Qualifications

• Deliver high-quality, well-engineered software with strong architectural awareness.
• Take end-to-end ownership of solutions, from concept to delivery.
• Demonstrate solid knowledge of algorithms, data structures and software fundamentals.
• Show interest in quantitative finance and the role of engineering within it.
• Prioritise effectively to deliver measurable business impact.
• Proactively identify and implement scalable improvements.
• Stay ahead of emerging technologies and drive their adoption.

Responsibilities

• Deliver high-quality software for trading and research platforms.
• Collaborate with researchers to realise ideas in production systems.
• Architect and implement scalable, performant solutions across our stack.
• Balance competing approaches with sound judgment and clear communication.

Skills

C#

Python

Algorithms

Data structures

Systems design

Communication

Ownership

Job description

G-Research in London invites engineers to shape platforms and tools that accelerate quantitative research. Work alongside world‑class researchers to build scalable systems using C# and Python in our own datacentres, boosting discovery and innovation.

You’ll own features end‑to‑end, optimise performance for 24/6 trading workflows, and contribute to core simulations and research tooling. The role demands solid fundamentals, strong architectural sense, and a collaborative mindset to deliver