Equity Quantitative Research Analyst, Vice President

Citi is looking for an Equity Quantitative Research Analyst to join its Equity Research team in London, where you will develop and deliver differentiated quantitative investment insights across global equity markets. Working alongside senior analysts and strategists, you will own the full research pipeline from alpha model development and signal research through to client-facing publication with a focus on near-term, actionable investment solutions. This is a high-impact role for a quantitative specialist who combines deep technical expertise with the ability to translate complex findings into compelling investment narratives for institutional clients.

Develop, enhance, and maintain quantitative equity models that identify investment opportunities across global markets, applying cross-sectional and time-series techniques to generate actionable alpha signals. Conduct macroeconomic and equity research across a defined coverage universe, distilling findings into investable theses and delivering written reports and notes for institutional audiences. Author and contribute to high-impact, client-facing research publications, translating sophisticated quantitative analysis into clear and compelling investment narratives. Engage directly with institutional investors to market research ideas, facilitate corporate access, and present data-driven insights on factor performance, sector flows, earnings trends, and portfolio risk analytics. Build and evolve financial models and valuation frameworks that support both tactical and longer-term investment recommendations. Participate in the design and development of the equity quantitative research platform, ensuring analytical rigor and consistency across the team's output. Uphold Citi's standards of ethical conduct and regulatory compliance in all business decisions, maintaining applicable licenses and adhering to relevant rules and policies. Required Qualifications & Skills PhD or postgraduate degree in a quantitative discipline such as Quantitative Finance, Statistics, Computer Science, or Engineering preferred Demonstrated experience in quantitative equity research, gained within a sell-side research team, quantitative strategy group, systematic equity investment platform, or a comparable buy-side quantitative research function. Fluency in Python or R, with hands-on experience building and validating quantitative models and conducting alpha research in a production or near-production environment. Deep expertise in cross-sectional and time-series modelling, factor research, and the application of statistical and machine learning techniques to equity investment research. Solid understanding of equity market structure and investment processes, including factor and risk model frameworks across global markets. Ability to communicate sophisticated quantitative concepts clearly to both technical and non-technical audiences, including institutional investors and senior internal stakeholders. Bachelor's or university degree as a minimum educational foundation, with a master's or postgraduate qualification preferred where a PhD is not held. Beneficial Skills & Qualifications Prior experience publishing client-facing investment research and engaging directly with institutional investors in a sell-side or strategy context. Background in or exposure to an embedded trading desk environment, gained within a quantitative strategy or systematic investment setting. Strong SQL skills combined with familiarity with Git and software engineering best practices for research platform development. Experience mentoring or providing analytical oversight to junior team members within a research environment.

Opportunities to grow your career locally and collaborate with colleagues across Citi's global network. A hybrid working model that balances in-office collaboration with remote flexibility. Investment in your professional development through training programs, mentorship, and