Responsibilities Design and refine quantitative trading and screening models. Research new signals and incorporate them into existing models. Generate, monitor and distribute trade ideas via quant tools. Produce research papers and presentations for internal and external use. Deliver thematic quantitative research and thought leadership. Collaborate to enhance the research platform, codebase and data pipelines. Improve visualisation and dissemination of model outputs. Maintain high coding standards, testing practices and version control. Communicate findings to Portfolio Managers, Analysts, Traders and Investment Directors. Support internal/external positioning of the quant capability and attend cross‑asset forums. Engage with clients and stakeholders as required. Requirements BSc or MSc in a quantitative field; knowledge of statistics, econometrics and numerical methods. Experience building quantitative models and strong interest in systematic investing. Proficient Python (pandas, numpy); comfortable with large datasets. Familiarity with SQL, Bloomberg and Git is advantageous. Strong Excel skills. CFA or comparable evidence of market knowledge is a plus. Clear written and verbal communication. Collaborative, proactive approach across teams and regions.