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 roleEngineering 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
- 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
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
G-Research London, England Office
London, United Kingdom
