We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. We build smart strategies that win over time. 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 With access to large scale data and compute, our Quant Analysts review and refine client trading behaviour to enable new opportunities and maximise performance. You will work closely with other Research teams, as well as those in Engineering and Front Office, to make improvements, respond to external changes and identify new opportunities across a complex, global client trading platform. Attention to detail and communication is key. You will perform post-trade analysis in Python using large scale data and compute, implement performant production C# code in the trading platform and monitor your changes in the real-world. Your work will range between medium term strategic projects and short-term urgent tasks - prioritisation skills and pragmatic decision making to deliver commercial value are necessary. Who are we looking for? The ideal candidate will have the following skills and experience: Demonstrable experience in a quantitative role working at pace with an excellent performance track record An appreciation of market microstructure and algorithmic order placement behaviour Strong coding skills, ideally Python and C#, but other languages are welcome The ability to question the status quo and drive improvement and changes A strong interest in finance and the motivation to rapidly learn and deliver 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