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.
Join a research team where curiosity meets scale. You’ll investigate foundational questions, uncover market insights and push the boundaries of what's possible - all with the support of near-limitless compute and world-class peers.
Take the next step in your career.
The role
Our researchers use the latest scientific techniques and advanced statistical analysis methods to predict movement in global financial markets.
This is a pure research role where you will be able to develop and test your ideas with real-world data in an academic environment. In this team, our researchers focus on optimising trading efficiency, analysing market microstructure, and minimising transaction costs.
This requires leveraging large-scale datasets, real-time market data, and advanced analytics to refine and optimise algorithmic execution strategies.
Who are we looking for?
The ideal candidate will have:
- Experience in execution quantitative research, particularly in equities
- Strong coding skills, ideally Python/C#, but other languages are welcome
- An interest in implementing theoretical insights as working code
- Understanding of market microstructure, smart order routing and liquidity dynamics across multiple venues
- Understanding of US markets is advantageous
- A Masters or PhD degree in a highly quantitative subject, such as mathematics, statistics, computer science, physics or engineering
- A strong interest in finance and the motivation to rapidly learn more is a prerequisite for working here
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
