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Salary
≈ $76k – $186k per year (Estimated)
Location
In office (London)
Visa
Licensed UK visa sponsor

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Sep 15, 2026. G-Research scores A on the Alion truth index.

Overview
Company
Impact
Profile match
G-Research is a quantitative research and technology firm headquartered in London that applies machine learning, big data and high-performance computing to predict movements in global financial markets. It brings researchers and engineers together in its Soho Place office in central London, opened in 2023, has a further office in Dallas, and funds PhD prizes, monthly research grants and work experience programmes for students. It hires quantitative researchers and developers, C++ and machine learning engineers, Kubernetes and platform engineers, network and database engineers, engineering managers and analytics staff.

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.

The role

Engineering underpins our continued growth and success, and we are committed to recruiting and developing the world’s best Engineers.

Our Engineers are the enablers of our success. They work side-by-side with our researchers to realise their ideas in global financial markets. They work at the bleeding-edge with immense compute power at their fingertips to achieve our aim: predicting the future.

The core tech stack is C# and Python, productionised in our own datacentres.

Areas of focus for these teams include:

  • Trading systems - reliable and performant systems able to trade 24/6 for our customers, with real money at stake
  • Modelling - building core capabilities and assisting quant researchers in our cutting-edge prediction capabilities
  • Simulation - back-testing frameworks for validating the strategies our researchers produce and for assessing their ongoing performance
  • Research tooling - front-end UX and workflow for our quant researchers
  • Performance and scalability - optimising our trading and research systems to unlock new capabilities

To give a flavour of the work we do, here are some of our recent projects:

  • Low level performance optimisations in our core simulation engine, unlocking the next advances in quant research
  • Experimenting with alternative solvers in a core trade planning system
  • Integrating our high and low frequency systems for more optimal trading
  • Re-architecting systems to provide a seamless path from research to production for machine learning models
  • Enabling large-scale distributed training of machine learning models
  • Contributing back to open-source projects

Who are we looking for?

  • 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
  • Apply sound judgment and balance competing approaches
  • Communicate clearly and adapt their style to different audiences
  • Understand others’ needs to deliver mutually beneficial outcomes
  • Collaborate effectively and build strong relationships across the business

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

  • Cycle-to-work scheme

  • 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

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