Equities Quantitative Researcher
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Key skills for this role
Role Overview
Join a high-performing investment team in a front-office role focused on systematic strategies across global equity markets.
Contribute investment ideas, predictive models, signal research, portfolio construction, and systematic process improvements.
Work directly with experienced Portfolio Managers in a collaborative, fast-paced environment.
Key Skills for This Role
Full Job Posting
Role Overview
Join a high-performing investment team in a front-office role focused on systematic strategies across global equity markets.
Contribute investment ideas, predictive models, signal research, portfolio construction, and systematic process improvements.
Work directly with experienced Portfolio Managers in a collaborative, fast-paced environment.
Key Responsibilities
- Research and develop quantitative signals and alpha factors across global equity markets.
- Analyse fundamental, market, and alternative datasets to identify investable opportunities.
- Design, test, and evaluate systematic investment strategies.
- Conduct statistical analysis and backtesting to assess signal effectiveness and portfolio impact.
- Work with Portfolio Managers to generate actionable investment insights.
- Develop research tools, infrastructure, and data pipelines.
- Contribute to portfolio construction, risk management, and performance attribution.
- Evaluate new datasets, methodologies, and machine learning techniques.
- Monitor live strategies and investigate portfolio performance drivers.
- Collaborate with researchers, developers, and investment professionals.
Requirements
- Approximately 2-8 years of experience in quantitative research, systematic equities, statistical arbitrage, or a related buy-side strategy.
- Strong understanding of statistics, probability, data analysis, and quantitative modelling.
- Advanced Python programming skills and experience with large datasets.
- Experience developing, testing, and evaluating predictive investment signals or quantitative strategies.
- Knowledge of equity market dynamics, factor investing, and portfolio construction.
- Financial applications of machine learning, data science, or advanced analytics are advantageous.
- Strong analytical, problem-solving, communication, and attention-to-detail skills.
- An advanced quantitative degree is preferred.
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