Quantitative Analyst, Global asset manager, London, London

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.