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Equity Quantitative Analyst, Global Asset Manager, London, Global asset manager, London - eFinancialCareers

eFinancialCareersLondon🇬🇧United KingdomPosted 21 Aug 2026

Why This Role Stands Out

Embark on a rewarding career path as an Equity Quantitative Analyst in London, where you'll drive innovation in systematic equity strategies and contribute to cutting-edge portfolio construction with a globally renowned asset manager. This hybrid role is ideal for a driven individual with a strong quantitative background and a passion for research, offering significant opportunities for professional development and impactful collaboration within a dynamic team. You'll thrive here if you possess a keen analytical mind, excellent communication skills, and a desire to shape the future of investment solutions.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
London, United Kingdom
Posted
2 weeks ago

Job Description


Responsibilities

  • Research and design new systematic equity strategies and products using proprietary data and modern portfolio construction.
  • Partner with Portfolio Engineering to implement and productionise equity quant capabilities.
  • Enhance and maintain the existing suite of factor and risk models.
  • Run standalone research projects culminating in white papers and client-facing presentations.
  • Improve the shared research platform, tools and data workflows.
  • Collaborate with colleagues across equities, multi-asset, distribution and technology teams globally.
  • Showcase and explain systematic capabilities to internal stakeholders and external clients.

Requirements

  • Experience in quantitative equity research and/or portfolio construction.
  • Knowledge of equity factors, risk models, optimisation, sustainability integration and portfolio construction techniques.
  • MSc or PhD in a quantitative field (e.g., statistics, econometrics, numerical methods).
  • Strong Python skills (pandas, NumPy) and proficiency with large datasets.
  • Understanding of modern AI/ML techniques applied to equity portfolios.
  • Excellent written and verbal communication.
  • Self-starter with commercial awareness and high ethical standards.

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