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