Senior Manager (m/w/d) - Commodities & Energy Trading, AI & Trading Transformation

We work with leading commodity and energy trading organisations, utilities and large energy consumers. Our work spans strategy, operating model and process design, trading transformation, commercial optimisation, risk and regulation, flexibility integration, and technology delivery.

This is an opportunity to advise influential organisations on strategic priorities and deliver meaningful change across trading operations, commercial performance and new technologies, while playing a visible role in building our German and European business.

You will play a key role in shaping and delivering our commodity and energy trading proposition: leading client engagements, developing new opportunities and showing clients where AI and advanced analytics can create genuine commercial value.

You are likely to bring deep expertise in either commodities and energy trading or data, analytics and AI, together with some understanding or practical exposure to the other. You will work alongside specialists from both disciplines, building on your core expertise while continuing to deepen your capabilities across the intersection of trading and AI. The aim is to turn emerging AI capabilities into practical, measurable improvements in how trading businesses operate.

AI & Trading Transformation

• Shape propositions at the intersection of commodity trading, AI and digital transformation, and bring market insight on how AI is changing trading organisations, business models and competitive dynamics
• Translate real trading problems into practical GenAI and agentic use cases that deliver value to clients
• Advise clients on where AI should augment human decision-making, where workflows can be automated, and where human judgement remains critical
• Design trading journeys from opportunity identification and experimentation through to scaled adoption, with the metrics and value cases that show impact on performance, productivity, risk and profitability
• Work with traders, portfolio managers, data scientists and technology teams to turn concepts into solutions that operate in live trading environments
• Drive adoption of GenAI copilots, agents and intelligent workflows that improve trader productivity and decision quality
• Establish governance, model risk, human oversight and responsible-use approaches without losing sight of commercial outcomes

Commodities & Energy Trading

• Advise on front-to-back trading processes, from market intelligence and trade origination through execution, scheduling, settlement and risk management across commodities including Power, Oil & Refined Products, Natural Gas, LNG, Metals, Renewables and Environmental Products
• Support clients in evolving their trading strategies, operating models and capabilities in response to changing markets and new technologies
• Bring an understanding of market structure, pricing, forecasting, physical flows and the commercial decisions that drive trading performance

We are looking for an experienced professional with 8-12+ years of relevant experience and a strong background in either commodities and energy trading or data, analytics and AI. The strongest candidates will combine meaningful experience across both areas. However, we also welcome applicants who bring deep expertise in one discipline alongside a working understanding of, or some practical exposure to, the other.

You might be a commodities and trading specialist who has applied data, analytics or AI to trading decisions, processes or transformation, or a data and AI practitioner who has worked in, or gained exposure to, commodities, energy or another trading environment.

You do not need equal depth in both disciplines, but you should be able to demonstrate a genuine foundation in each and a clear motivation to deepen your experience at their intersection.

What we look for in everyone

• Strong commercial judgement and the ability to engage credibly with senior trading and executive stakeholders
• The ability to distinguish genuinely valuable AI opportunities from technology-led experimentation
• Experience contributing to or leading complex transformation, strategy or operating-model engagements
• Deep expertise in either commodities and energy trading or data, analytics and AI, together with a working understanding of, or some practical exposure to, the other discipline and the commitment to continue building depth across both

If your primary background is in commodities and trading, you will ideally bring

• Deep expertise in at least one commodity, such as Power, Gas, LNG, Oil, Metals or Environmental Products
• A strong understanding of trading, portfolio management, risk, physical flows, scheduling, optimisation and/or commercial operations
• Familiarity with ETRM/CTRM platforms and the wider trading technology and data ecosystems

If your primary background is in data, analytics and AI, you will ideally bring

• Practical experience identifying, shaping or delivering AI, GenAI, machine learning or intelligent automation use cases
• An understanding of the opportunities and limitations of GenAI, LLMs, AI agents and decision-support tools, and how they apply in a trading environment
• Some experience of commodities, energy, financial markets or trading environments, with an understanding of how trading organisations make decisions, manage risk and generate value, together with a strong interest in deepening your knowledge of commodity markets and front-to-back trading processes