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.