We are currently recruiting for a a successful, rapidly growing commodities trading firm looking for a hands-on Quantitative Risk Analyst / Modeler to help scale, inform, protect and enhance our trading performance, and provide some team cover in trade execution and risk management. This role is ideal for someone who enjoys the challenge of modelling the financial mathematics and applying these models to real life scenarios.
We need someone who must have the following …
• A genuine love of the craft — you get real satisfaction from solving hard problems well, from a model that survives contact with a volatile market to teaching a junior colleague something that clicks to translating complex financial model into an actionable insight. You are motivated by the work itself, not the next rung on a ladder
• Experience in a quantitative discipline (mathematics, physics, financial engineering, computer science or similar)
• Strong quantitative foundation: statistics, probability, time-series analysis, and the practical judgement to know which tool fits which problem (and when a simple model beats a clever one)
• Exceptional Excel skills, including advanced data manipulation, modelling, and building tools that traders actually want to use ; building transparent, reliable and decision-useful models and reporting tools
• Excellent Python skills (ideally within Excel) — comfortable writing clean, testable, production-quality code; fluent with pandas, NumPy, and the typical scientific Python stack
• Flexible approach to working hours to respond to evolving needs of markets and Trading team requirements
• Calm and composed under pressure, comfortable in chaos, with strong ethical standards and sound judgement when the stakes are high
• Strong logical reasoning: methodical, pattern-recognising, able to hold conflicting views in parallel and reason your way to the best answer
• Excellent written and verbal communication skills — able to explain a complex model to a trader in 30 seconds and to a junior analyst in 30 minutes, with the appropriate depth for each
Ideally will be a bonus if you have the following…
• Direct experience with commodities or futures markets
• Experience of using Bloomberg and other market data sources to enrich risk models/analytics
• Experience with SQL and modern data tooling
• Experience building or contributing to production risk or trading systems alongside Engineering teams
• Experience mentoring, coaching or line-managing junior analysts
Unfortunately, we are unable to offer visa sponsorship for this role.