Quantitative Support Analyst - Discretionary Trading Team

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.
• Familiarity with simple backtesting or statistical testing.
• An eye for good design - you like making dashboards that are clean, fast, and easy to use.

Additional Information

Location: Remote | Employment: Full-time We're looking for a Quantitative Support Analyst to join our discretionary trading team. This is a great fit for someone early in their career who enjoys markets, data, and problem-solving - and likes building simple, practical tools that help traders make better decisions every day. You'll work closely with experienced discretionary traders, helping to bring their ideas to life. From testing small quantitative concepts to building clear, intuitive dashboards, your work will sit right at the intersection of trading and data.

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Company Intel

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