Octavius Finance is working with a Global Asset Manager looking to hire experienced Quantitative Equity Analyst to join a team of quantitative analysts and portfolio managers developing and managing quantamental equity strategies.

You’ll lead independent research, improve stock selection models and portfolio construction methods, and develop production code that brings research into the investment process. As a member of one or more Global Sector Teams, you’ll also collaborate with fundamental equity and credit analysts and portfolio managers, contributing a quantitative perspective to investment decisions.

Key Responsibilities:

• Lead research projects to evaluate stock selection factors, improve model estimation algorithms and enhance portfolio construction.

• Analyse large datasets to assess investment signals and forecast stock returns using company characteristics and market data.

• Develop production code to strengthen research and portfolio management processes.

• Help shape the research agenda by generating ideas, attending conferences and evaluating academic and practitioner research.

• Partner with fundamental researchers and portfolio managers to backtest investment signals and provide portfolio construction analysis.

• Communicate research findings clearly and incorporate feedback into your work.

What you’ll bring:

• At least five years of relevant industry experience.

• Graduate-level education in a relevant field.

• Experience in, and a strong interest in, quantitative stock selection, statistical analysis and equity return forecasting.

• Practical knowledge of quantitative equity portfolio construction and experience with providers such as Axioma, Barra or Northfield.

• Proficiency in one or more analytical programming languages, such as Python, MATLAB or R, alongside SQL and C#.

• Familiarity with financial data platforms such as Bloomberg or FactSet.

• The ability to structure thoughtful, detail-oriented solutions to complex problems and deliver independently.

This is an opportunity to join a highly experienced investment team where quantitative research and technology sit directly alongside the investment process, with the ability to have a tangible impact on both the research platform and live portfolio.

To apply, please send your CV to