At a Glance
- Tasks: Develop innovative quantitative models and conduct impactful equity research.
- Company: Join a leading global financial services firm with a commitment to diversity.
- Benefits: Hybrid work model, professional development, and comprehensive wellbeing support.
- Other info: Exciting career growth opportunities in a dynamic and inclusive environment.
- Why this job: Make a real impact in finance while collaborating with top experts in the field.
- Qualifications: Strong quantitative skills and programming experience in R/Python/Java required.
The predicted salary is between 55442 - 67762 £ per year.
We are seeking an Equity Quantitative Research Analyst to join our Equity Research team in London. In this role, you will work closely with senior research analysts and strategists to develop differentiated quantitative insights, stock-selection frameworks, and thematic research for institutional investors, including asset managers, pension funds, hedge funds, and sovereign wealth funds. The successful candidate will bring a unique blend of equity research, quantitative modelling, machine learning, and platform development expertise, with the ability to translate complex datasets into differentiated investment insights while driving innovation across the research process. The role is primarily focused on developing and enhancing proprietary quantitative models that integrate bottom-up fundamental analysis with macroeconomic insights, while also contributing to the expansion of scalable research tools, analytical frameworks, and infrastructure that support the production of client-facing research and institutional client engagement.
Responsibilities
- Quantitative Equity Research & Alpha Modelling: Develop, enhance, and maintain quantitative models designed to identify investment opportunities across global equity markets. Conduct cross-sectional and time-series research on equity alpha generating ideas using a mixture of fundamental, technical, macro and alternative time series signals to generate actionable insights.
- Research & Publication Support: Contribute to the production of high-impact, client-facing research reports and regular near term tactical and thematic market updates. Translate complex quantitative findings into clear, compelling investment narratives for institutional investors.
- Data Infrastructure & Research Platform Development: Design, maintain, and evolve the quantitative equity research platform through the integration of agentic AI capabilities, advanced analytics, and scalable research infrastructure across market, fundamental, and alternative datasets. Develop automated workflows and intelligent research tools that enhance the end-to-end research process, from idea generation and signal discovery through to analysis, visualization, and publication.
- Client Analytics & Custom Research: Conduct bespoke quantitative analyses to support both internal and external stakeholders. Support client interactions by providing data-driven insights on factor performance, sector positioning, market expectations, earnings trends, and portfolio exposures.
Qualifications
- Education: Undergraduate degree with significant quantitative research experience or MSc/MEng / PHD in Quantitative Finance, Statistics, Econometrics, Computer Science, Engineering, Physics, or a related quantitative discipline.
- Technical Skills: Highly proficient in programming (R/Python/Java) and the use of modern quantitative financial libraries and toolkits. Strong SQL skills are preferred. Familiarity with source control tooling (Git) and software engineering best practices is highly desirable.
- Quantitative & Market Knowledge: Strong understanding of equity market structure and investment processes, with expertise in cross-sectional and time-series modelling, factor research, and the application of statistical and machine learning techniques to investment research and alpha generation.
- Communication & Intellectual Curiosity: Excellent written and verbal communication skills, with the ability to communicate sophisticated quantitative concepts to both technical and non-technical audiences. Demonstrated passion for financial markets, investment research, and continuous innovation in quantitative methodologies.
What We Offer
- 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 programmes, mentorship, and skill-building opportunities.
- Employee wellbeing support including medical coverage, mental health resources, parental leave, and family support programmes.
- Competitive retirement contributions and investment options to support your long-term financial goals.
Alongside these benefits, Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.
Time Type: Full time
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
Research Senior Associate employer: Citigroup, Inc.
Citi London is an exceptional employer, offering a dynamic and inclusive work environment that fosters innovation and collaboration. With a competitive salary, generous annual leave, and a hybrid working model, employees enjoy a healthy work-life balance while having access to extensive learning and development resources. As a key player in the Equity Derivatives Technology team, you will have the opportunity to lead impactful projects and grow your career within a globally recognised financial institution.
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