ExxonMobil
Lead Power Quantitative Risk Modeler

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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 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 ExxonMobil 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.
WHAT ROLE YOU WILL PLAY IN OUR TEAM
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 which is 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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
ABOUT YOU
We are looking for someone who has a strong Quantitative / Risk Management background and has the following qualifications:
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 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.
Preferred Qualifications/ Experience
- Familiarity with energy commodities ETRM systems (i.e., Endur, Allegro etc.) and experience with Tableau or comparable Analytics platforms is a plus.
YOUR BENEFITS
An ExxonMobil career is one designated 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.


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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.
STAY CONNECTED WITH US
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FUNCTIONAL SKILLS
Energy Commodity & Derivative Trading
Energy Risk Analysis & Mitigation
Econometric Analysis
Market Pricing Mechanisms
Financial Markets Execution
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