Strategy Manager - Commodity Markets & Trading

About the role

Accenture CEO Advisory's Commodity Markets practice is looking for a Strategy Manager based in London. You will own the delivery of client engagements from scope to close, lead a team of consultants and analysts and act as a trusted day-to-day advisor to senior client stakeholders. You will work closely with Senior Managers and Managing Directors to shape solutions and grow client relationships.

Key responsibilities

• Lead engagements or major workstreams end to end, owning scope, quality, timelines, budget and the client relationship with limited supervision.
• Structure complex, ambiguous problems into clear analytical approaches and actionable, commercially grounded recommendations.
• Lead client interviews and workshops and present recommendations confidently to senior executives, including delivering difficult messages with empathy.
• Work on topics such as corporate and portfolio strategy, trading and risk management, operating model design, commercial optimisation, investment valuation, financial structuring, balance sheet analysis, energy market liberalisation, the energy transition and advanced numerical modelling of energy and commodity markets.
• Use advanced analytics, machine learning and predictive modelling to interpret market signals and forecast trends, combining them with data-science-led approaches to investment and trading decisions.
• Lead, coach and develop a team of consultants and analysts, giving regular feedback and fostering an inclusive environment of continuous learning.
• Build long-term relationships with client stakeholders, identify follow-on opportunities, and lead proposal development with Partners.
• Contribute to the firm's offerings, assets and thought leadership.

Required profile

• 5+ years of experience in consulting, the energy industry, commodity markets, investment banking or a closely related area, including leading workstreams or teams.
• Degree in a quantitative field (e.g. Economics, Engineering, Mathematics, Finance, Computer Science) or equivalent experience.
• Strong quantitative and qualitative problem-solving skills and experience structuring complex, abstract problem statements.
• Working knowledge of recognised strategy frameworks and techniques.
• Fluency in English; excellent written and verbal communication, including presenting to senior audiences.
• Desirable: advanced degree or MBA, exposure to commodity trading, risk management or investment and asset valuation, proficiency in financial and analytical modelling, and experience with AI- and analytics-enabled solutions.

Required skills

• Desirable: data visualisation tools (Power BI, Tableau, Alteryx) or programming languages (R, Python, SQL)
• Desirable: experience scoping or delivering AI- and analytics-enabled solutions combined with quantitative modelling