Equity Quant Strategist

Equity Quant Strategist

We have partnered with a Tier-1 global asset manager (multi-hundred $billion AUM) looking to hire an experienced Equity Quant Strategist to join their world-class Public Equities team.

This is essentially a desk quant role, embedded directly with equity PMs and analysts, where the selected candidate will work side-by-side with investment teams to drive performance & pnl, while also directly impacting idea generation and portfolio outcomes.

The Public Equities business runs a range of strategies, including total return, absolute return, and relative return, with consistently strong performance and a reputation for hiring top-tier investment talent from across the industry.

The successful candidate will play a key role in providing actionable, data-driven insights to support idea generation, due diligence, and risk/performance analysis. A strong understanding of what equity analysts do - reviewing company statements, testing assumptions, and evaluating business drivers - is essential. The role will also have a large focus on alternative data, including sourcing and analysing non-traditional datasets (e.g. LinkedIn hiring activity for a particular company, M&A filings, or other signals of company growth and strategy) to generate unique insights.

Key Responsibilities

• Partner with PMs and analysts to apply quantitative techniques, AI/ML models, and visualisation tools to support single-name and sector-level investment decisions.
• Understand company fundamentals and help frame equity analysis through both traditional financial statements and alternative data-driven views.
• Source and integrate structured and unstructured datasets (financials, job postings, hiring trends, transactional/M&A activity, etc.) to validate or challenge investment hypotheses.
• Develop dashboards and visual analytics to monitor portfolio performance, macroeconomic trends, and company-specific risks in real time.
• Conduct data-driven research to understand the effects of macroeconomic drivers-such as interest rates and inflation and impact on companies and sectors.
• Support thematic and event-driven strategy development by applying advanced analytics and data modeling techniques.
• Conduct impact and sensitivity analysis using quantitative and network-based frameworks.
• Apply behavioural analytics and data insights to help improve research quality and investment decision-making across the team.
• Maintain and enhance models and analytical infrastructure to institutionalise insights and support ongoing research.
• Share tools, methodologies, and insights across investment teams to encourage collaboration and innovation.

Requirements & Qualifications

• Relevant experience in quantitative research, with a track record of applying data-driven approaches to support equity investment processes.
• Strong grasp of equity/fundamental analysis, with the ability to translate company reports, financial assumptions, and alternative data signals into actionable insights (without being in the role of a PM or Analyst).
• Deep expertise in integrating structured and alternative datasets for company analysis and investment insights.
• Experience leveraging AI/ML models and visualisation tools to drive investment insights.
• Strong programming skills in Python or R, along with SQL and modern data visualisation platforms.
• Excellent communication and stakeholder engagement skills, with the ability to influence decision-making across diverse teams.
• Experience with sector specialisation in equities is a plus.
• Ability to operate independently in a fast-paced, dynamic investment environment.