About Us
At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by pride in what we do and what we stand for.
What Role You Will Play
We are looking for qualified and highly experienced individuals with strong credentials to support and advance ExxonMobil’s Risk Management function. A member of the Quantitative Risk team, part of the Trading Risk & Compliance organization, the successful candidate will help support ExxonMobil’s Upstream Gas & Power as well as Downstream Crude & Products trading activities.
What You Will Do
- Develop, validate, maintain quantitative valuation models of Power markets.
- Develop, validate, maintain and support risk management models for Trading Strategies, Risk Management, Real Options Valuation, and Simulation of Forward Curves.
- Conduct quantitative analysis of structured deals to support market-based asset valuations and design hedging strategies.
- Apply advanced statistical analysis into the design, analysis, implementation, and refinement of scenario analysis and stress test methodologies and tools.
- Model and estimate volatilities and correlations, both historical and implied.
- Provide recommendations for improvement and enhancement of risk management models.
- Effectively communicate recommendations on complex topics to a variety of constituents, including Management, Traders, Originators and Risk Management.
- Work on Quantitative Analysis topics as required based on evolving needs of this dynamic Risk organization.
About You
Skills And Qualifications
- Advanced degree (Master’s, MBA, or Ph.D.) in Finance, Economics, Statistics, Mathematics, Engineering, Computer Science or other STEM majors.
- Experience/knowledge of Power markets.
- Highly experienced in Energy Quantitative Risk, Structuring, or Risk Analysis in Energy Commodities and Markets: crude oil, refined products, power, natural gas, LNG, renewables, environmental products, etc.
- Solid understanding of option theory (Option Greeks, etc.), Monte Carlo simulation techniques (e.g., PCA) and mathematical optimization methods (e.g., Dynamic Programming).
- Knowledge of global/domestic energy and carbon markets, including fundamentals, origination and deal structuring, trading strategies and related risk management standards and best practices.
- Proficiency in Python, R, MATLAB, or other programming languages. Additionally programming in SQL.
- Credit Risk Modeling experience is a plus.
Preferred Qualifications/Experience
- Familiarity with energy commodities ETRM systems (e.g., Endur, Allegro, etc.) and experience with Tableau or comparable Analytics platforms is a plus.
Your Benefits
- Competitive starting salary
- Generous resettlement allowance
- Defined Benefit Pension scheme
- Share incentive plan
- Private healthcare for employees and their families
- Free Gym at most UK sites
Please note benefits may change from time to time without notice, subject to applicable law.
