Quantitative Researcher
(1 – 3 years’ experience)
I am working with a leading global investment manager specialising in quantitative and systematic investment strategies across a broad range of financial markets. The firm seeks to generate consistent, uncorrelated returns through a diversified portfolio of research-driven trading strategies.
Combining expertise across trading, technology, and operations, the organisation has built its success on a foundation of rigorous scientific research and continuous innovation. As a highly data-centric business, it develops and maintains its own proprietary technology stack, including high-performance trading systems, large-scale data platforms, and advanced computing infrastructure.
With a presence across major financial centres worldwide, the firm fosters a collaborative culture that brings together investment, technology, and operational teams on a global scale. In addition to its systematic trading capabilities, the firm also manages discretionary strategies, leveraging its quantitative research framework to capture market opportunities that may be difficult to exploit through fully automated approaches.
Role/Responsibilities of a Quantitative Researcher:
- Conduct in-depth quantitative research to identify and validate alpha opportunities within global equity markets
- Take ownership of the full research lifecycle, including signal generation, data analysis, strategy development, backtesting, optimisation, and deployment into production
- Source, assess, and integrate new datasets to enhance predictive models and improve stock return forecasting.
- Monitor, maintain, and enhance live trading strategies, ensuring robust performance within the production environment.
- Collaborate closely with researchers, traders, and engineers to refine existing models and develop new systematic investment strategies.
- Analyse strategy performance and contribute to the continuous improvement of the firm’s research and trading frameworks
Requirements for a Quantitative Researcher
- Master’s degree or PhD in a quantitative discipline such as Physics, Engineering, Statistics, Applied Mathematics, Quantitative Finance, or a related field with a strong statistical / mathematical / coding foundation
- Strong programming skills in Python, with the ability to develop efficient and scalable research tools.
- Solid understanding of applied statistics, linear algebra, and time series analysis.
- Experience working with large and complex datasets, including data cleaning, transformation, and analysis.
- Knowledge of financial markets and an interest in quantitative investing and trading strategies
- Self-motivated individual who takes ownership of projects and delivers results with minimal supervision
- Strong team player with the ability to collaborate effectively while conducting independent research
If you are interested in the Quantitative Researcher role then apply.
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