Quantitative Support Analyst - Discretionary Trading Team
External
Efinancialcareers · London, UKFull-timeOn-siteToday
NumPyPandasPlotlyPythonSQL
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Responsibilities
- Build dashboards and tools that give traders real-time visibility into market data, positions, and performance.
- Work from loose ideas - taking a trader's hunch or question and turning it into a quick test, chart, or metric.
- Prototype and iterate on lightweight analytics or signals that help traders frame decisions.
- Automate and tidy data workflows , making sure what's on screen is clean, reliable, and up to date.
- Collaborate directly with traders to understand what matters most, refining tools and metrics over time.
Requirements
- Up to 2 years' experience in a quant, data, or analytics role - ideally supporting a trading or investment team.
- A Master's in a quantitative subject.
- Solid Python skills (Pandas, NumPy, Plotly, Dash, or Streamlit a plus).
- Some experience working with SQL or time-series data.
- A natural curiosity about markets and how data can explain or challenge intuition.
- Clear communicator - comfortable discussing ideas with non-technical teammates.
- Self-motivated and comfortable working remotely with a small, fast-moving team.
- Experience working with financial or market data APIs.
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Company Intel
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