Graduate Quantitative Researcher (2027 Start)

This position involves managing the entire research lifecycle, starting with defining problems and selecting relevant data before moving on to constructing, validating, and deploying models. The role requires working with vast datasets, including market and order-flow information, to identify signals that enhance trading strategies as conditions shift. You will also monitor live model performance to refine assumptions and determine subsequent areas of investigation. The work relies heavily on machine learning, deep learning, and AI-enabled workflows to accelerate the process from forming hypotheses to gathering evidence. Specific technical skills mentioned include statistical and mathematical methods, as well as the ability to handle petabytes of unstructured data. The job is designed for graduates, with a start date in 2027, and includes participation in a structured onboarding program that covers trading, system building, and risk management. No specific language requirements are stated in the provided text. The working arrangement is not explicitly defined, though the location is listed as London. This role suits individuals who enjoy using mathematics and code to explore complex questions and who value academic discourse. It is ideal for those who want to collaborate with traders and engineers to challenge hypotheses and improve model performance in production environments.