Lead Products Quantitative Risk Modeler

Responsibilities

• Develop, validate, and maintain quantitative valuation models for Oil Products markets (Gasoline, Jet Fuel, Heating Oil, etc.)
• Support risk management models for trading strategies, real options valuation, and forward curve simulations
• Conduct quantitative analysis of structured deals to support asset valuations and hedging strategies
• Apply advanced statistical analysis to design and refine scenario analysis and stress test methodologies
• Model and estimate historical and implied volatilities and correlations
• Communicate complex quantitative recommendations to Management, Traders, and Risk Management constituents

Requirements

• Advanced degree (Master’s, MBA, or Ph.D.) in a STEM field (Finance, Economics, Statistics, Mathematics, Engineering, or Computer Science)
• Extensive experience in Energy Quantitative Risk, Structuring, or Risk Analysis within energy commodities
• Deep knowledge of Oil Products markets
• Solid understanding of option theory (Greeks), Monte Carlo simulation techniques, and mathematical optimization
• Proficiency in Python, R, MATLAB, or other programming languages, as well as SQL

Preferred Qualifications

• Experience with Credit Risk Modeling
• Familiarity with energy commodities ETRM systems (e.g., Endur, Allegro)
• Experience with Tableau or comparable analytics platforms

Benefits

• Competitive starting salary
• Generous resettlement allowance
• Defined Benefit Pension scheme
• Share incentive plan
• Private healthcare for employees and their families
• Free Gym access at most UK sites

About the Company

Esso, part of ExxonMobil, is one of the world’s largest publicly traded energy and chemical companies. We are committed to leading in energy innovations that advance modern living while reducing emissions through our Upstream, Product Solutions, and Low Carbon Solutions businesses.