Equity Quant Strat

AVP / VP Quantitative Strategist, Equities - London

I'm partnering with a leading global investment firm seeking a highly analytical Quantitative Strategist to help shape the next generation of equity investing through the application of data science, artificial intelligence and machine learning.

This is a rare opportunity to sit directly alongside Portfolio Managers and Equity Analysts, using AI-driven research, alternative data and quantitative techniques to generate differentiated investment insights across global equity markets. The role is designed for individuals who are equally comfortable discussing company fundamentals and building advanced analytical solutions that improve investment decision-making. Based on information contained in

The Opportunity

AI and machine learning are becoming increasingly important sources of competitive advantage within investment management. In this role, you will help drive that evolution by identifying new ways to harness data, automate research workflows and uncover investment opportunities that may not be visible through traditional fundamental analysis alone.

Working across the investment lifecycle, you will:

• Apply AI, machine learning and advanced analytics to enhance equity research and idea generation.
• Leverage alternative structured and unstructured datasets to identify signals and investment opportunities.
• Partner with Portfolio Managers and Analysts to test investment hypotheses and generate actionable insights.
• Develop innovative research tools, visualisation platforms and predictive analytics capabilities.
• Improve portfolio construction, risk management and performance monitoring through quantitative techniques.
• Help shape how AI and data science are integrated into a fundamental equity investment process.

About You

We're looking for an investment-focused quant with a genuine passion for both equity markets and emerging AI technologies.

You will possess:

• Experience spanning quantitative equity research and fundamental equity investing.
• Hands-on experience applying AI and machine learning techniques within an investment or research environment.
• Strong understanding of company analysis, earnings drivers, valuation and sector dynamics.
• Advanced Python, SQL and data analytics skills.
• Experience working with alternative datasets and large-scale investment data.
• The ability to translate complex quantitative findings into investment decisions and portfolio actions.

Why Apply?

• Front-office role with direct influence on investment decisions.
• Build and deploy AI-powered research capabilities within a leading investment platform.
• Work closely with experienced investors, analysts and portfolio managers.
• Combine fundamental research, quantitative investing and machine learning in a single role.
• Exposure to some of the most sophisticated investment datasets and analytical tools available.

If you're excited by the future of AI-enabled investing and want to apply machine learning to real-world equity investment decisions, we'd love to hear from you.