Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. This role is based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab. The role Data scientists at G-Research bring structure to the worlds financial data, refining, transforming and combining varied and rich datasets to create superior representations of the outside world in our research platform. Collaborating closely with Quantitative Researchers and Engineers - and supported by a high-performance compute platform - you’ll analyse third-party datasets and apply your technical expertise and understanding of financial markets to integrate them effectively into our growing data estate. Who are we looking for? The ideal candidate will have the following skills and experience: Strong academic credentials, including a minimum 2:1 degree or equivalent, in a quantitative subject, such as mathematics, statistics, computer science, physics or engineering Demonstrable experience in a data science or data analysis role, with excellent performance over a number of years Good programming skills, preferably in Python The ability to apply foundational mathematical concepts, such as probability or statistics, to real world financial and data science problems Outstanding problem-solving ability and strong data visualisation skills The ability to collaborate well with others on projects 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