Cross-Asset Quantitative Analyst, Global Asset Manager, London
Location London
Compensation Competitive
Description
Our client is a global asset manager bringing together systematic capabilities across fixed income and macro. They seek a Quantitative Analyst to advance research, model development and platform enhancement within a Systematic Investing team. The role blends alpha research, infrastructure build and stakeholder communication.
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
- 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
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