Quantitative Researcher
3 weeks ago
You will work closely with quantitative analysts and researchers to implement quantitative research frameworks in Python, including integrating models, algorithms, analytics, and research tools. This role is ideally suited to someone with a background in portfolio construction, who has strong Python development skills, and is highly numerate, so can work with quantitative research teams.
Key Responsibilities:- Implementing quantitative research frameworks in Python, including integrating models, algorithms, analytics, and research tools.
- Working closely with quantitative analysts and researchers to develop and implement quantitative research strategies.
- Collaborating with cross-functional teams to integrate research findings into business decisions.
- Developing and maintaining Python code for data analysis, visualization, and modeling.
- Staying up-to-date with industry trends and developments in quantitative research and financial markets.
- 4-6 years of commercial or post-graduation experience, ideally in financial markets.
- Strong Python skills, including data analysis libraries and visualization tools (Matplotlib, Plotly, Pandas, NumPy).
- Buy-side background is preferred, ideally with exposure to portfolio construction and related areas.
- Strong understanding of software development lifecycle and practices, including CI/CD.
- Understanding of financial markets and products, ideally equities and derivatives.
- Degree or Masters in Engineering, Computer Science, Mathematics, or related.
This is a £450-£500/day PAYE role, initially a contract but may convert to permanent in the medium term. Based in London.
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Quantitative Researcher
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