Business Analyst (Commodities & AI Intelligence focus)

SSOVEREIGN SOFTWARE SERVICES LTD; Remote; GBP 50,000 - 70,000; Full time

Job summary

A global software solutions provider is seeking a highly analytical Business Analyst to bridge the gap between commodities trading operations and expertise in AI development. You will lead workshops to define user requirements and collaborate to optimize trading strategies. An ideal candidate has over 5 years of experience in the commodities or Fintech sectors, holds a relevant degree, and possesses strong problem-solving and communication skills. This role offers the opportunity to work in a dynamic, fast-paced environment.

Qualifications

• Minimum 5–7+ years of experience in Business Analysis within the commodities trading, Fintech, or AI sectors.
• Expert understanding of global trade operations, including FX risk and shipping logistics.
• Mastery of interpreting complex datasets into business-centric dashboards.

Responsibilities

• Lead discovery workshops to define user stories and functional requirements.
• Collaborate with stakeholders to define strategies for commodity price forecasting.
• Map and document end-to-end trade lifecycles, including automated trade approvals.

Skills

Requirements Engineering

Data Analysis

Problem-Solving

Communication

Education

Bachelor's degree in Business, Finance, Economics, or related field

Tools

Jira

Confluence

SQL

Job description

We are seeking a highly analytical and domain-expert Business Analyst to bridge the gap between complex global commodities trading operations and the technical development of Trade Product , an enterprise AI-powered trading platform. The ideal candidate will translate the requirements into actionable functional specifications for AI and Natural Language Machine (NLM) components. This role requires a professional who can synthesize market intelligence, risk exposure, and regulatory standards into a cohesive intelligence layer that delivers predictive insights and real-time decision support for traders and executives.

Key Responsibilities

• Requirements Engineering: Lead discovery workshops to define user stories and functional requirements for the conversational AI interface and the "Natural Language Machine" intelligence flow.
• Trading & Risk Logic: Collaborate with stakeholders to define logic for commodity price forecasting (short/medium/long term), margin optimization, and stress testing scenarios.
• Workflow Automation: Map and document end-to-end trade lifecycles, including automated trade approvals, contract management, and exception-based alerting systems.
• Data Ingestion Strategy: Identify and define data mapping requirements for diverse sources, including ERP systems, FX feeds, logistics data, and market news feeds.
• AI Explainability & Governance: Define the requirements for "Explainable AI" outputs to ensure all platform-generated insights are transparent, auditable, and human-readable.
• Regulatory Compliance: Ensure all functional designs align with international regulatory environments and UAE data protection standards.
• Intelligence Layer Integration: Document requirements for geopolitical, shipping, and market sentiment analysis to be integrated into the risk and intelligence engines.
• UAT & Training: Spearhead User Acceptance Testing (UAT) and lead user training sessions during the final project delivery phases to ensure successful platform adoption.

Key Skills and Qualifications

• Education: Bachelor's degree in Business, Finance, Economics, or a related field with a strong analytical focus.
• Experience: Minimum 5–7+ years of experience in Business Analysis, specifically within the commodities trading, Fintech, or AI sectors.
• Core Tech Stack: Proficiency in requirements management tools (e.g., Jira, Confluence), SQL for data analysis, and business process modeling notation (BPMN).
• Domain Expertise: Expert understanding of global trade operations, including FX risk, shipping logistics, and counterparty credit exposure.
• AI/ML Familiarity: Strong conceptual understanding of Natural Language Processing (NLP), LLM orchestration, and how AI can be applied to predictive modeling.
• Data Handling: Mastery of interpreting complex datasets and translating them into business-centric dashboards and conversational UI requirements.
• Professional Attributes: Exceptional problem-solving skills, detail-oriented documentation habits, and the ability to thrive in a high-pressure, milestone-driven environment.
• Communication: Strong ability to collaborate within cross-functional teams and act as a primary liaison between UK-based technical teams and UAE-based business stakeholders.