UKH - Lead Power Quantitative Risk Modeler

About us

At Exxon Mobil, 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 the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.

We invite you to bring your ideas to Exxon Mobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we can work together
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We are looking for qualified and highly experienced individuals with strong credentials to support and advance Exxon Mobil's Risk Management function. A member of the Quantitative Risk team which is part of the Trading Risk & Compliance organization, the successful candidate will help support Exxon Mobil's Upstream Gas & Power as well as Downstream Crude & Products trading activities.

• 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.

We are looking for someone who has a strong Quantitative / Risk Management background and has the following 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 Marketing: crude oil, refined products, power, natural gas, LNG, renewables, environmental products etc.
• Solid understanding of option theory (Option Greeks etc.), Monte Carlo simulation techniques (i.e., PCA) and mathematical optimization methods (i.e., 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.

• Familiarity with energy commodities ETRM systems (i.e., Endur, Allegro etc.) and experience with Tableau or comparable Analytics platforms is a plus.

An Exxon Mobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.

We offer you:

• 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 be changed from time to time without notice, subject to applicable law.

Successful candidates will be made a conditional offer of employment. The conditions include, but are not limited to: a satisfactory criminal records disclosure; satisfactory employment references over five years (where…