Trading Business Manager

About the role

The Trading Business Manager leads the execution of M&A, joint‑venture, partnership and investment opportunities across ADNOC’s Trading and Downstream ecosystem. The role drives opportunities from origination through business case development, valuation, due diligence, negotiation support and final approval.

Key responsibilities

• Originate, screen and prioritize M&A, joint‑venture and divestment opportunities and maintain a live deal pipeline.
• Lead day‑to‑day transaction execution, including due diligence, valuation, financial modelling, risk assessment and negotiation support.
• Develop comprehensive business cases and valuation models (DCF, comparables) with IRR, NPV and payback analyses.
• Coordinate commercial, financial, legal, technical and tax due‑diligence activities and consolidate findings.
• Prepare investment committee, executive and Board submissions ensuring compliance with ADNOC governance.
• Conduct market scanning, competitor analysis and provide insights on global trading and downstream trends.
• Collaborate with internal stakeholders (Finance, Legal, Strategy, Downstream Business Lines) to align evaluation methodologies.
• Support integration planning and track realised value against expected synergies post‑closing.

Required profile

• Bachelor’s degree in Engineering, Finance, Economics, Business Administration or related field; MBA or MSc Finance preferred.
• 10–12 years of experience in M&A, corporate development, investment banking, private equity or strategy, preferably in energy, oil & gas or commodity trading.
• Hands‑on execution of multiple transactions through to closing, including structured finance and principal investing.
• Professional certifications such as CFA, ACA/ACCA, CPA or equivalent are preferred.

Required skills

• Advanced financial modelling and valuation (DCF, trading and transaction comparables).
• Deal origination, due‑diligence management and negotiation support.
• Investment governance and approval framework knowledge.
• AI fluency, AI‑driven process optimisation and intelligent data interpretation.
• Lean Six Sigma process improvement.
• Commodity and emission trading expertise.
• Market economics, supply and demand analysis.