Global Equity Research Analyst (Quantamental)

Description

We’re partnering with a leading asset management firm to hire a Research Analyst for its highly regarded Quantitative Equity investment team. This is an opportunity to join an established investment platform that combines deep fundamental research with sophisticated quantitative techniques to build high-conviction global equity portfolios.

The team believes the strongest investment outcomes come from combining rigorous fundamental thinking with quantitative insights, advanced portfolio construction and disciplined risk management.

Responsibilities:

• Enhance and evolve the team’s investment framework, identifying new ways to improve stock selection and portfolio outcomes
• Undertake in-depth research projects, exploring new datasets, analytical techniques and investment signals to uncover insights that can strengthen the investment process
• Analyse a wide variety of traditional financial information alongside alternative and non-traditional data sources to identify opportunities, risks and emerging trends across the investment universe
• Translate complex analysis into clear, actionable investment recommendations that support portfolio decision-making
• Help maintain the quality and integrity of investment datasets, ensuring research inputs remain robust, accurate and relevant to portfolio construction
• Monitor portfolio exposures and provide analytical support to Portfolio Managers, helping assess the impact of changing market conditions and new research findings
• Present research conclusions and investment ideas to the wider team, encouraging discussion and incorporating feedback to refine recommendations
• Contribute to a collaborative research environment, sharing ideas and helping drive innovation across both the fundamental and quantitative aspects of the investment process

Candidate Requirements:

• 5-10 years of experience in buy-side or sell-side equity research or portfolio management
• Strong grounding in fundamental equity investing
• Excellent financial modelling and valuation skills
• A genuine interest in quantitative investing
• Exposure to factor investing, portfolio construction or optimisation techniques would be advantageous
• Strong analytical and problem-solving skills
• Programming experience (Python, R or SQL) is beneficial but not essential
• CFA qualification is advantageous