Quantitative Risk Analyst - Commodities

Job DescriptionRole - Quantitative Risk Analyst - Commodities Client - Hedge FundLocation - LondonThe Quant Risk Analyst will help analyze & monitor the Commodities risk, build quantitative models for performance & risk analysis. Responsibilities: Develop data-driven analytical models to uncover performance patterns among portfolio managers and pinpoint key drivers of P&L and risk (e.g., factor models, risk decomposition).Design and implement interactive dashboards for risk analysis and scenario visualization, providing intuitive GUI tools for decision support.Collaborate with the Quant Technology team to build and enhance option pricing and volatility models.Skills: Advanced degree (Masters or PhD) in a quantitative discipline such as Engineering, Computer Science, Mathematics, or Physics.Minimum of 3 years experience in a professional role within Trading, Structuring, Risk, or Quantitative Analysis at a financial institution, fintech firm, trading company, or commodities house.Strong programming skills, particularly in Python, with hands-on experience in the data science ecosystem (e.g. Pandas, scikit-learn or similar), and SQL. Experience with GUI development tools such as Dash, Panel, or equivalent is a plus.

Created: 2025-06-23