analysis, including data preparation, testing, calibration, optimisation, and maintenance as models and data evolve. Develop AI‐assisted research and modelling workflows, including data engineering, model design, evaluation, and monitoring. Translate theoretical research and investment logic into efficient, testable, and maintainable code. Rapidly prototype new modelling approaches and analytical tools … maintain robust backend systems, data pipelines, and APIs supporting both internal research and client‐facing applications. Design, operate, and evolve cloud‐based data and model workflows, including orchestration, scheduling, monitoring, and failure handling. Contribute to system architecture, performance optimisation, and scalability as the platform and dataset complexity grow. Establish ...