Overview
In this role, you will lead in-depth hedge fund and liquid market strategy research within a sophisticated, global investment manager. You collaborate with cross-functional teams to evaluate managers, processes and performance, translating insights into actionable recommendations. You will shape investment evaluation frameworks and support decision-making through rigorous analysis of data and markets. The position offers growth opportunities in a research-driven, collaborative culture that values curiosity and continuous improvement.
Pay / Benefits
- Great benefits
- Growth opportunities
Responsibilities
- Conduct in-depth research on hedge funds and liquid market strategies (e.g., equity long/short, macro, credit, relative value, systematic, multi-strategy)
- Apply structured research frameworks and analytical tools to assess manager advantages, processes, team quality and performance
- Analyze investment data, portfolio characteristics, risk exposures and market trends to support manager selection and monitoring
- Generate insights from fundamental, quantitative and alternative datasets
- Contribute to the enhancement of manager evaluation frameworks with research-driven feedback
- Partner with quantitative researchers and technology teams to refine tools and workflows
- Test, validate and improve research methodologies and analytical frameworks
- Translate insights into structured memoranda and recommendations; prepare presentations for senior stakeholders
- Stay updated on hedge fund strategies, managers and broader markets
Key requirements
- 5-10 years of experience in manager research, investment due diligence, hedge fund research, Fund of Funds investing, or manager selection and portfolio construction
- Bachelor’s degree in Finance, Economics, Mathematics, Engineering, Computer Science or related discipline
- CFA, CAIA or equivalent qualifications would be advantageous
- Experience evaluating hedge fund managers across a broad range of strategies and performing qualitative and quantitative due diligence
- Strong understanding of manager selection frameworks, fund analysis, portfolio construction, risk assessment and performance attribution
- Experience with investment research platforms, analytical tools and large datasets
- Ability to interpret complex investment information and translate findings into actionable recommendations
- Strong Python or data analysis skills would be advantageous (primarily research-focused)
- Experience collaborating with quantitative research, data science or tech teams to improve research capabilities
- Excellent communication, presentation and stakeholder management skills
- Intellectual curiosity, independent thinking, data-driven approach to research
- Excellent communication and stakeholder management
- Intellectual curiosity
- Independent thinking
- Python
- Data analysis
- Investment research platforms
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