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For Companies At a Glance
- Tasks: Develop and maintain quantitative models for oil products and risk management strategies.
- Company: Join ExxonMobil, a leader in energy innovation and sustainability.
- Benefits: Enjoy private healthcare, share incentives, and free gym access at most UK sites.
- Why this job: Make a real impact in energy markets while advancing your career in a dynamic environment.
- Qualifications: Advanced degree in STEM and experience in energy quantitative risk required.
- Other info: Opportunities for personal and professional growth in a supportive workplace.
The predicted salary is between 48000 - 72000 £ per year.
Location: London, LND, GB
Company: ExxonMobil
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.
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 Oil Products (Gasoline, Jet Fuel, Heating Oil, etc.) 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
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 Oil Products (Gasoline, Jet Fuel, Heating Oil, etc.) 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.
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.
We offer you:
- 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.
Conditions of Employment
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 applicable); verification of qualifications, including any professional accreditation stated in the application; completion of a pre-employment medical, including a test for illicit or unprescribed drugs in accordance with the Company's safety policies; and the legal right to work on the agreed commencement date.
Equal Employment Opportunity Policy
ExxonMobil and its United Kingdom subsidiary companies, Esso Petroleum Company, Limited, and ExxonMobil Chemical Limited, are equal opportunity employers and all qualified applicants will receive consideration for employment. All applicants are offered equal opportunity to demonstrate their abilities during our recruitment processes, therefore, please contact the Recruitment Team if you wish to discuss any particular requirements to enable you to complete our recruitment process.
2026UKH - Lead Products Quantitative Risk Modeler employer: Exxon Mobil
Contact Detail:
Exxon Mobil Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 2026UKH - Lead Products Quantitative Risk Modeler
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to quantitative risk modelling. Use real-world examples from your experience to showcase your skills and knowledge.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications with a friendly email to express your enthusiasm. It shows initiative and keeps you on their radar.
✨Tip Number 4
Check out our website for the latest job openings at ExxonMobil. We’re always looking for talented individuals like you to join our team, so don’t miss out on the chance to apply directly!
We think you need these skills to ace 2026UKH - Lead Products Quantitative Risk Modeler
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Lead Products Quantitative Risk Modeler. Highlight your relevant experience in quantitative risk management and any specific skills related to oil products markets. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about energy innovations and how your skills can contribute to our mission at ExxonMobil. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to highlight your proficiency in programming languages like Python, R, or MATLAB. If you have experience with credit risk modelling or ETRM systems, make sure to mention that too! We’re keen on candidates who can bring technical expertise to the table.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Exxon Mobil
✨Know Your Models Inside Out
Make sure you’re well-versed in the quantitative valuation models relevant to Oil Products. Be prepared to discuss how you’ve developed, validated, and maintained these models in your previous roles. This will show that you not only understand the theory but also have practical experience.
✨Brush Up on Statistical Techniques
Since the role involves advanced statistical analysis, it’s crucial to be familiar with techniques like Monte Carlo simulations and option theory. Practise explaining these concepts clearly, as you’ll need to communicate complex ideas to various stakeholders during the interview.
✨Showcase Your Programming Skills
Proficiency in programming languages like Python, R, or MATLAB is essential. Prepare examples of how you’ve used these skills in past projects, especially in relation to risk management or quantitative analysis. Being able to demonstrate your coding prowess can set you apart from other candidates.
✨Understand the Energy Market Landscape
Familiarise yourself with current trends in the energy commodities market, including oil products and carbon markets. Being able to discuss recent developments or challenges in the industry will demonstrate your genuine interest and knowledge, making a strong impression on the interviewers.