Deloitte - Recruitment

IT Projects Business Analyst | London | Contract

Deloitte - Recruitment City of London, England, United Kingdom

Business Consulting and Services · 10,001+ employees

19 h ago
business-analyst Senior (5-10 yrs) Contractor United Kingdom
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About the role

The Business Analyst will bridge the gap between business and technology teams to translate complex commodities trading challenges into digital and AI-enabled solutions. They are responsible for leading discovery, process modelling, and requirements definition across multiple high-priority strategic initiatives.

What they look for

Business Analysis Commodities Trading Energy Trading AI Generative AI Data Analytics Digital Transformation Stakeholder Management Agile Process Modelling Requirements Definition Risk Management Supply & Distribution Logistics Machine Learning Large Language Models

Requirements

The role requires extensive experience in commodities or energy trading environments with a strong focus on digital transformation and AI adoption. Candidates must possess excellent stakeholder management skills and the ability to facilitate workshops with diverse teams including traders, operators, and engineers.

Full description

Contract Role: IT Projects Business Analyst Contract Location: London 4-5 days onsite each week Contract Start: Starting ASAP (inside IR35) Contract duration: End of 2026

Payroll provider: Rockford Payroll Info for Contingent Workers – Rockford Pay

Deloitte are seeking a highly experienced IT Projects 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.

Experience working on AI, data, analytics, or digital transformation initiatives is highly desirable.

Critical Success Factors

The ideal candidate will:

  • Bring strong industry credibility within Commodities

& Products Trading.

  • Quickly understand complex business challenges and

opportunities.

  • Bridge the gap between business stakeholders and

technical delivery teams.

  • Drive AI adoption through practical business use

cases.

  • Lead analysis across multiple high-priority

initiatives simultaneously.

  • Demonstrate leadership, strategic thinking, and

commercial acumen

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.

Essential Experience (Must Have)

  • 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.

AI & Digital Product Enablement (Must Have)

  • 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.

Stakeholder Management (Must Have)

  • Partner with senior stakeholders across Trading &

Supply, Products, Commercial and Technology organisations.

  • Build trusted relationships across global teams.
  • Communicate effectively with both business and

technical audiences.

  • Influence decision-making and drive alignment across

multiple delivery teams.

AI & Data (Must Have)

  • 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 lifecycles and adoption

challenges.

Commodities & Products Trading Expertise (Great To Have)

  • Provide subject matter expertise and analysis across

areas such as:

  • Refined Products Trading
  • Crude Trading
  • Deal Capture & Trade Lifecycle Management
  • Commercial Operations
  • Scheduling & Logistics
  • Inventory Management
  • Supply & Distribution
  • Blending & Optimisation
  • Risk & Exposure Management
  • Margin & P&L Analysis
  • Trading Analytics & Decision Support
  • Front, Middle and Back Office Processes

Leadership & Mentoring(Good To Have)

  • Provide guidance and coaching to junior and mid-level

Business Analysts.

  • Establish best practices for business analysis and

requirements management.

  • Contribute to capability development within the BA

community.

  • Act as a trusted advisor on complex business and

technology initiatives.

Trading Platforms & Technologies (Good To Have)

Experience with one or more of the following:

  • Endur
  • Allegro
  • Openlink
  • RightAngle
  • SAP
  • Veson
  • Trading Data Platforms
  • Commodity Risk Management Systems

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