About the Role

We are looking for a Senior Business Analyst who can operate with equal confidence in a boardroom and a data model. You understand how physical energy markets operate — from trade capture and settlement through to logistics, risk management, and financial reporting — and you know how these processes should work inside a CTRM system.

This is a hands-on role at the intersection of domain expertise and technology. You will translate operational knowledge of commodity trading into structured requirements, process schemas, and business rules that development teams can build from. You will help shape the business architecture of trading and risk management platforms, covering the full deal lifecycle: trading, finance, logistics, and risk.

You will own workstreams end-to-end — from defining the problem and mapping processes to presenting recommendations to senior stakeholders including traders, operations leads, and investors. You will also play a key role in designing how AI and automation are applied within commercial workflows.

Location:Remote (UK-based), with regular travel to Dubai to work alongside the client’s operations team.

What You Will Do

Map and document business processes across Trading, Finance, Logistics, and Risk Management — from trade capture and confirmation through settlement, P&L reporting, inventory management, and delivery
Define functional requirements and acceptance criteria that translate operational workflows into system logic, data models, and business rules
Design process schemas and data flows for commodity trading platforms, covering deal lifecycle, cost allocation, scheduling & nominations, shipment tracking, and treasury integration
Work with the development team to plan and validate the business architecture of trading solutions, ensuring built features accurately reflect how physical markets operate
Prioritise across releases, helping the team sequence what gets built and when based on business value and operational dependencies
Produce clear, structured documentation — including functional specifications, process diagrams, and data dictionaries — that bridge the gap between domain knowledge and engineering
Contribute to the development of AI-enabled workflows and advisory tools by turning industry knowledge into scalable logic and systems
Support stakeholder engagement, from problem definition and analysis to delivery of commercially relevant recommendations

Requirements

Deep understanding of physical commodity trading operations: deal lifecycle, trade confirmation, settlement, P&L reporting, cost allocation
Hands-on experience with CTRM systems (e.g. Aspect, RightAngle, Allegro, Eka, or bespoke/in-house platforms) — as a user, business analyst, or implementation lead
Familiarity with finance functions in commodity trading: invoicing, accruals, financial reporting, treasury integration
Understanding of logistics workflows in oil and energy markets: scheduling, nominations, shipment tracking, bill of lading, delivery confirmation, terminal operations
Proven ability to translate business processes into structured requirements, functional specifications, or data models
Experience creating process diagrams (BPMN or equivalent) and working directly with development teams
Strong financial modelling and commercial analysis capability
Fluent in English and Russian
5+ years of relevant experience in physical commodity trading, energy markets, or CTRM systems

Nice to Have

Exposure to oil and gas markets specifically — crude, refined products, or LNG trading flows
Experience with risk management functions: market risk, credit risk, position management, limit monitoring, VaR
Experience with pricing data sources: Platts, Argus, ICE, forward curves, netback calculations
Hands-on experience with LLMs, automation tools, or AI-assisted workflows in a commercial context
Chartering, newbuilding, or sale-and-purchase exposure in shipping markets
Published industry research or thought leadership

Why This Role

Shape how commodity trading platforms are built — direct influence on architecture, features, and priorities from day one
Work at the intersection of deep domain expertise and modern technology, including AI-driven development workflows
Direct exposure to physical oil, energy, and shipping markets with senior industry stakeholders across trading, operations, and infrastructure
High-ownership, high-impact role with visibility across the full project lifecycle
Opportunity to define how data and AI are applied in a commercially driven environment

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