Lead Products Quantitative Risk Modeler

Lead Products Quantitative Risk Modeler Overview

At ExxonMobil, we are committed to leading in energy innovations that enhance modern living while minimizing emissions. As one of the largest publicly traded energy and chemical companies globally, we pride ourselves on our diverse workforce and the innovative solutions they provide. We are currently seeking a qualified and experienced individual to join our Risk Management function as a Lead Products Quantitative Risk Modeler.

Role Overview

The successful candidate will be part of the Quantitative Risk team within the Trading Risk & Compliance organization, supporting both Upstream Gas & Power and Downstream Crude & Products trading activities.

Key Responsibilities

• Develop and maintain quantitative valuation models for Oil Products markets including Gasoline, Jet Fuel, and Heating Oil.
• Create and support risk management models for Trading Strategies, Real Options Valuation, and Forward Curve simulations.
• Conduct quantitative analyses of structured deals to aid in market-based asset valuations and the design of hedging strategies.
• Implement advanced statistical analyses for scenario analysis and stress testing methodologies.
• Model and estimate historical and implied volatilities and correlations.
• Provide recommendations for the enhancement of risk management models.
• Communicate complex recommendations effectively to diverse stakeholders including Management, Traders, and Risk Management teams.
• Engage in Quantitative Analysis projects as needed to adapt to the evolving requirements of the Risk organization.

Qualifications

• Advanced degree (Master’s, MBA, or Ph.D.) in Finance, Economics, Statistics, Mathematics, Engineering, Computer Science, or other STEM fields.
• Experience or knowledge in Oil Products markets such as Gasoline, Jet Fuel, and Heating Oil.
• Extensive experience in Energy Quantitative Risk, Structuring, or Risk Analysis within Energy Commodities and Marketing sectors.
• Solid understanding of option theory, Monte Carlo simulation techniques, and mathematical optimization methods.
• Knowledge of global and domestic energy and carbon markets, including trading strategies and risk management best practices.
• Proficiency in programming languages such as Python, R, MATLAB, and SQL.
• Credit Risk Modeling experience is considered an advantage.

Benefits

• Competitive starting salary.
• Generous resettlement allowance.
• Defined Benefit Pension scheme.
• Share incentive plan.
• Private healthcare coverage for employees and their families.
• Access to free gym facilities at most UK locations.

Please note that the benefits offered may be subject to change without prior notice, in accordance with applicable laws.

Degree Requirement: Not Specified

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