eFinancialCareers
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.
To apply for this job please visit www.reed.co.uk.
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