Head of Machine Learning

The Company is seeking a Head of Machine Learning to define its machine learning research strategy and build a high-calibre team of researchers and engineers. The role will lead research across areas such as deep learning, reinforcement learning, probabilistic modelling, time-series modelling, and generative AI, applying these methods to investment research and financial-market challenges. Responsibilities include partnering with quantitative and investment teams, developing approaches for large and complex datasets, and establishing strong practices for experimentation, validation, reproducibility, and deployment. The Head will also collaborate with engineering teams on scalable research and production infrastructure while providing technical and strategic leadership. Candidates should bring deep expertise in machine learning, AI, and statistical modelling, along with experience leading research or engineering teams and taking ideas from hypothesis through implementation. Strong programming skills, preferably in Python and modern machine-learning frameworks, and experience with large-scale datasets are required. A strong understanding of statistical validation, experimental design, and model generalisation is important; financial-market experience is advantageous but not essential for candidates with exceptional technical expertise. A strong academic background in a quantitative discipline is preferred, and a PhD is desirable but not required.