Refinery Economic Modeling Lead

Abu Dhabi National Oil Company; Abu Dhabi; On-site; AED 400,000 - 650,000; Full time

Job summary

Abu Dhabi National Oil Company (ADNOC) invites an experienced Economics Modeler to develop fit-for-purpose economic models for refinery operations, optimize margins, and support procurement decisions with real-time and historical data.

You will coordinate with site teams, maintain auditable records, prepare monthly variance and gross margin analyses, and contribute to PIP programs while enhancing LP and optimization models using spreadsheets.

Qualifications

• Bachelor’s Degree in Engineering, Science, Business, Economics or equivalent; additional business qualification is an advantage.
• 8 years of experience in Economic Model Building and Interpretation, preferably in oil, gas, or petrochemical plants.
• Strong business analysis and modeling skills using LP and spreadsheets.
• Excellent communication and written English; Arabic knowledge is preferable.

Responsibilities

• Confer within SCMD team to ensure accurate representation of operating constraints in LP model.
• Carry out LP and economic model enhancements to ensure fit-for-purpose models.
• Develops economic models for evaluation of feedstock and products; supports commercial decisions.
• Prepare Monthly Variance Analysis of refinery performance and track margin improvements.
• Coordinate with site teams to obtain actual unit yield patterns and hydrogen balances.

Skills

Business Analysis

LP Planning Models

Spreadsheet Modeling

Optimization Modelling

Report Writing

Oil & Gas Industry Knowledge

Communication Skills

English Proficiency

Arabic Knowledge

Education

Bachelor's Degree in Engineering/Science/Business/Economics

Job description

Abu Dhabi National Oil Company (ADNOC) invites an experienced Economics Modeler to develop fit-for-purpose economic models for refinery operations, optimize margins, and support procurement decisions with real-time and historical data.

You will coordinate with site teams, maintain auditable records, prepare monthly variance and gross margin analyses, and contribute to PIP programs while enhancing LP and optimization models using spreadsheets.