Equity Quantitative Research Analyst, Vice President

Overview

In this role you will translate advanced quantitative research into actionable equity insights for institutional clients. You work within Citi’s Equity Research team in London to develop alpha-generating models and deliver client-facing publications. You will collaborate with senior analysts to tailor research ideas to market opportunities and maintain a rigorous, production-ready research platform. The position offers high impact through cross-market analysis and close interaction with investors.

Pay / Benefits

• hybrid working model
• professional development and mentorship
• wellbeing support including medical and mental health resources
• parental leave and family support
• retirement contributions and investment options

Responsibilities

• Develop and maintain quantitative equity models using cross-sectional and time-series techniques to identify opportunities
• Conduct macro and equity research within a defined coverage universe and distill findings into investable theses
• Author client-facing research and translate complex analysis into clear investment narratives
• Engage with institutional investors to present data-driven insights on factor performance, sector flows, earnings trends, and risk analytics
• Build and evolve valuation frameworks and models to support tactical and longer-term recommendations
• Contribute to the design and development of the equity quantitative research platform ensuring rigor and consistency
• Adhere to Citi’s ethical and regulatory standards and maintain required licenses

Key requirements

• PhD or postgraduate degree in quantitative disciplines preferred
• Experience in quantitative equity research within sell-side, buy-side, or comparable environment
• Fluency in Python or R with hands-on model development and alpha research
• Expertise in cross-sectional and time-series modelling and application of statistics or ML to equity research
• Strong understanding of equity market structure and factor/risk models across global markets
• Ability to communicate complex quantitative concepts clearly to technical and non-technical audiences
• Bachelor’s degree minimum; Master’s preferred if no PhD

• Clear communication to diverse audiences
• Collaborative mindset with senior stakeholders
• Ability to translate complex findings into compelling narratives
• Python
• R
• Cross-sectional modelling

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