Responsibilities Research and build quantitative trading and screening models Source, test and integrate new signals into existing frameworks Monitor and distribute trade ideas generated by quant tools Deliver standalone research with concise reports and presentations Provide thematic quantitative research and thought leadership Enhance the research platform and shared codebase Improve dissemination and visualisation of model outputs Uphold robust coding standards, version control and testing Communicate model insights to Portfolio Managers, Analysts, Traders and Investment Directors Support internal and external positioning of the quant team Participate in cross-asset team meetings and collaborate across regions Engage with clients as required Requirements BSc/MSc in a quantitative field with knowledge of statistics, econometrics and numerical methods Practical experience developing quantitative models for investment Strong Python programming (pandas, NumPy); SQL and Git advantageous Proficient with Excel; familiarity with Bloomberg desirable Experience handling and analysing large datasets CFA or equivalent evidence of market knowledge is a plus Clear written and verbal communication skills Collaborative mindset and ability to work across functions