Cross Commodity Algorythmic Trader

Manage a systematic trading strategy with a live track record across UK, Western, and Continental European power, gas, biofuels, feedstocks, softs, and ags. Focus on developing and executing an algorithmic approach that generates positive PnL within a conservative seat cost structure. Leverage genuine market access to trade cross-commodity assets while adhering to a starting variance at risk of circa £500k and a 3x drawdown limit. Compensation is structured as a direct percentage of PnL, aligning incentives with performance. Reach out directly if the strategy and edge align with the firm's appetite for flexible mandates.