Posted: 6 April
The role
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 whats possible - all with the support of near-limitless compute and world-class peers. Take the next step in your career. The role Data Scientists at G-Research bring structure to complex financial data, refining, transforming and combining rich datasets to create superior representations of the outside world in our research platform. Working closely with Quantitative Researchers and Engineers, you will analyse third-party datasets and apply your technical expertise and market understanding to integrate it effectively into our growing data estate. You will be supported by a high-performance compute platform. 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 30 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
