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Senior AI Deployment Business Analyst – Commodities Trading: Energy

Job in London, Greater London, W1B, England, UK
Listing for: Eaglecliff Recruitment
Full Time position
Listed on 2026-10-03
Job specializations:
  • Business
    AI Business & Operations, Business Systems & Technology Analysis
  • IT/Tech
    AI Business & Operations, Business Systems & Technology Analysis
Job Description & How to Apply Below
Position: Senior AI Deployment Business Analyst – Commodities Trading: World Energy Co
Contract London, Greater London, South East, England Posted 53 minutes ago
800 - 900 per day USD / Year Exciting opportunity for a Senior Business Analyst – AI & Commodities Trading to join this global Energy company.

This is an exciting time to join this world-leading Energy company as it evolves from a traditional Oil & Gas enterprise into a future-focused Energy leader. This transformation includes the establishment of a highly successful new Power Trading desk within the Energy Trading team and ventures into cutting-edge solutions that address the evolving demands of the Energy sector. These initiatives include advanced Gas infrastructure, LNG technology, effective Energy Storage systems and Green Energy solutions.

These innovations create opportunities for exceptionally talented individuals to contribute to the success of this evolution, working alongside some of the industry’s top professionals and leveraging the very latest technology.

Role Overview You will be a highly experienced Senior Business Analyst to support the expansion of AI-enabled products within the Products Trading organisation.

The successful candidate will be responsible for bridging business and technology teams, translating complex commodities trading business challenges into digital and AI-enabled solutions.

This role requires a seasoned Business Analyst with strong knowledge of Commodities Trading, Products Trading, Supply & Distribution, Logistics, Risk Management, and Commercial optimisation as well as experience working on AI, data, analytics initiatives.

Key Responsibilities Business Analysis Leadership Lead discovery, analysis, process modelling and requirements definition activities across multiple strategic initiatives.

Translate business opportunities and operational challenges into actionable functional and technical requirements.

Facilitate workshops with traders, schedulers, operators, commercial teams, product owners and technology teams.

Define user stories, business processes, capability maps, acceptance criteria and business outcomes.

Drive solution alignment across business, product and engineering teams.

Commodities & Products Trading Expertise Provide subject matter expertise and analysis across areas such as:

Refined Products Trading Crude Trading Deal Capture & Trade Lifecycle Management Commercial Operations Scheduling & Logistics Supply & Distribution Risk & Exposure Management Margin & P&L Analysis Trading Analytics & Decision Support Front, Middle and Back Office Processes AI & Digital Product Enablement Identify opportunities to leverage AI and Generative AI capabilities within trading and commercial workflows.

Work closely with AI engineers, data scientists, and developers to define and deliver AI-enabled solutions.

Support product discovery, MVP definition, and scaling of successful AI products.

Translate business use cases into requirements suitable for AI and Large Language Model (LLM) based solutions.

Evaluate business value and adoption opportunities for AI-enabled products.

Essential Experience Extensive Business Analysis experience within Commodities Trading or Energy Trading environments.

Strong knowledge of Products Trading business processes and value chains.

Proven experience working directly with traders, operators, schedulers, planners and commercial stakeholders.

Experience supporting large-scale digital transformation initiatives.

Strong stakeholder management and workshop facilitation skills.

Experience working within Agile product delivery environments.

Excellent communication and leadership capabilities.

Experience delivering AI, Machine Learning or Advanced Analytics solutions.

Understanding of Generative AI and Large Language Models (LLMs).Experience converting business requirements into AI use cases.

Familiarity with AI product life cycles and adoption challenges.
Position Requirements
10+ Years work experience
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