Trading Value Chain Optimisation Business Analyst / Subject Matter Expert (SME)

Visionary Tech Services (VTS) is seeking a Trading Value Chain Optimisation Business Analyst / SME to lead the development of structured decision-making workflows across the trading lifecycle. This role will focus on enhancing portfolio optimisation , logistics , freight and storage strategy , pricing insights , and risk governance , while aligning closely with upstream/downstream planning for integrated value delivery.

The specialist will help unlock enterprise value under real-world constraints and volatile market conditions through scenario-driven planning, rigorous economic analysis, and embedded decision frameworks.

Background:

You should bring deep expertise in:

• Trading operations: crude and product flows, logistics, pricing, crack spreads
• Storage and demurrage economics
• P&L metrics, exposure management, and risk governance
• Energy Trading and Risk Management (ETRM) processes
• Cross-functional process integration with planning, finance, and operations
• Scenario-based planning and decision enablement under uncertainty
  
  

Requirements

• Discover & Define:
• Lead workshops with Trading, Risk, and Operations teams
• Map current-state workflows
• Capture detailed business requirements, user stories, and acceptance criteria aligned with enterprise KPIs
• KPIs & Scenarios:
• Define KPI trees, risk metrics, P&L breakdowns, and exposure limits
• Frame scenarios and sensitivities
• Build structured decision rules and playbooks
• Pilot & Validate:
• Coordinate and run simulation scenarios
• Lead User Acceptance Testing (UAT)
• Track financial benefits and value uplift
• Integrate & Govern:
• Integrate scenario management into enterprise planning tools and data hubs
• Embed scenario orchestration and decision flows using Business Process Management (BPM) frameworks
• Prioritise & Align:
• Manage and maintain the optimisation backlog
• Drive consensus on architecture (build-vs-buy)
• Align Trading, Risk, Finance, and Ops teams around roadmap, guardrails, and governance
  
  

Education:

• Bachelor's or Master's degree in:
• Operations Research
• Financial Engineering
• Economics
• Industrial Engineering
• Or a related quantitative discipline
  
  

Technical Skills / Tech Stack:

• Core Tools:
• Optimisation & modelling software (e.g., LP/MIP solvers, decision modelling tools)
• Data platforms (e.g., data lakes, trading data systems)
• Visualisation and workflow orchestration tools (e.g., BPM tools, dashboards)
  
  

Functional Experience:

• Expertise in trading value chains: crude/product pricing, optionality, logistics
• Experience with P&L reporting, exposure limits, and risk trees
• Proven ability to run scenario planning and stress testing
• Skilled in defining constraints, business policies, and operational rules
• Capable of designing and tracking plan-vs-actual KPIs and benefits
  
  

Soft Skills:

• Business Storytelling
• Communication
• Expectation Management
• Stakeholder Engagement
• Structured Problem-Solving
  
  

Benefits

• Opportunity to work with high-impact trading and optimisation projects in the oil & gas sector
• Collaborate with senior stakeholders across trading, risk, finance, and operations
• Gain exposure to enterprise decision-making frameworks and advanced scenario planning
• Shape the integration of trading and planning systems across the value chain
• Be part of a fast-growing AI and data consultancy leading digital transformation in the Middle East
• Contribute to value-focused process redesign and data governance initiatives