Strategy Consultant - Commodity Markets

About the role

Accenture CEO Advisory's Commodity Markets practice is looking for a Strategy Consultant in London. As a core member of engagement teams, you will own defined workstreams and the analysis behind them, working closely with Managers, Senior Managers and Managing Directors to turn complex client questions into structured, evidence-based recommendations. The practice covers commodity production, trading, logistics and marketing, with solution areas such as investment and asset portfolio optimisation, trading and market optimisation, decision platforms, enterprise activation and commodity sourcing.

Key responsibilities

• Own and deliver workstreams within client engagements, structuring problems and building analysis with guidance from the engagement Manager.
• Build and maintain market, financial and valuation models, and apply analytics, data science and AI techniques where they add value.
• Develop client materials and present findings clearly, including in client interviews and workshops.
• Work on topics such as corporate and portfolio strategy, trading and risk management, operating model design, commercial optimisation, investment valuation, energy market liberalisation, the energy transition and numerical modelling of energy and commodity markets.
• Build working relationships with client counterparts and take well-evidenced ideas to clients.
• Mentor Analysts and take ownership of your own development.
• Support business development through industry and company research and proposal materials, and contribute to firm community activities.

Required profile

• 2-4 years of experience in consulting, the energy industry, commodity markets, investment banking or a closely related area.
• Degree in a quantitative field (Economics, Engineering, Mathematics, Finance, Computer Science) or equivalent experience.
• Fluency in English and excellent written and verbal communication.
• Desirable: advanced degree or MBA, exposure to commodity trading, risk management or investment valuation, and solid financial and analytical modelling skills.

Required skills

• Working knowledge of recognised strategy frameworks and techniques.
• Strong quantitative and qualitative problem-solving skills.
• Desirable: experience applying AI and analytics to real problems, data visualisation tools (Power BI, Tableau, Alteryx) or programming (R, Python, SQL).