Quant Equity Strategist
hace 2 días
London
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 and overall investment performance. 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 visualization 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-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, • Relevant experience in quantitative research, with a track record of applying data-driven approaches to support equity investment processes, • Strong programming skills in Python or R, along with SQL and modern data visualization platforms, • 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 visualization tools to drive investment insights, • Excellent communication and stakeholder engagement skills, with the ability to influence decision-making across diverse teams, • Experience with sector specialization in equities is a plus, • Ability to operate independently in a fast-paced, dynamic investment environment