Senior Consultant Commodity Trading

In today's fast-paced business landscape, unanticipated risks can have significant consequences. At Deloitte we're on a mission to empower organizations to navigate these complexities with confidence.

Responsibilities

Analyze and document end-to-end trading processes—deal capture, optimization, logistics, risk, settlements and reporting—across power, gas, LNG, crude, NGLs and environmental products.; Assess current ETRM/CTRM landscapes, identify data and workflow gaps, and recommend improvements independent of vendor.; Design target operating models, control frameworks and roadmaps that align people, process and technology to strategic goals.; Drive digital initiatives such as data-driven trading, advanced analytics and automation proof-of-concepts.; Facilitate client workshops, manage work-stream deliverables, track risks and provide clear status updates to senior stakeholders.; Contribute to proposals, market research and thought-leadership pieces that expand our Energy Trading & Risk Management offering.; Develop and validate pricing models for multi-commodity derivatives and structured products, assess methodological soundness and calibrate assumptions to market conditions.; Support valuation frameworks for complex trading portfolios, ensuring consistency with accounting standards and risk reporting requirements.; Analyse market and credit risk sensitivities, contribute to model governance, backtesting and independent validation.; Translate quantitative requirements into any trading system specifications and data architecture, support implementation of risk measurement frameworks.

Requirements

2–5 years' experience in commodity/energy trading, consulting, risk management or a related industry role.; Solid grasp of trade-life-cycle fundamentals and how commercial drivers translate into system and process requirements.; You can deliver both consulting projects and technical solutions.; Exposure to ETRM/CTRM platforms and associated data flows, comfortable analyzing front-, middle- and back-office needs.; Familiarity with pricing models, valuation methodologies, market risk (VaR, Greeks, sensitivity analysis) and credit risk frameworks.; Strong analytical, communication and stakeholder-management skills, able to operate in agile, client-facing teams.; Degree in Business, Engineering, Economics, Computer Science, Mathematics or related field, postgraduate study or certifications (e.g., FRM, CFA, Scrum) are a plus.; Enthusiasm for continuous learning, creative problem solving and working across multiple commodities and geographies.