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: Share incentives, private healthcare, and free gym access at most UK sites.
- Other info: Opportunity to work with cutting-edge technologies and contribute to sustainable solutions.
- Why this job: Make a real impact in energy while advancing your career in a dynamic environment.
- Qualifications: Advanced degree in STEM and experience in energy quantitative risk required.
The predicted salary is between 80000 - 100000 £ per year.
About the Company
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.
Skills and Qualifications
- Advanced degree (Master’s, MBA, or Ph.D.) in Finance, Economics, Statistics, Mathematics, Engineering, Computer Science or other STEM majors.
- Experience or 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 or 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.
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.
Lead Products Quantitative Risk Modeler employer: Exxon Mobil
At ExxonMobil, we pride ourselves on fostering a dynamic and inclusive work environment that encourages innovation and collaboration. As a Lead Products Quantitative Risk Modeler, you will have access to exceptional employee growth opportunities, competitive benefits including a share incentive plan and private healthcare, and the chance to contribute to sustainable energy solutions in a company that values your expertise and ideas. Join us in our mission to advance modern living while reducing emissions, and be part of a team that is committed to making a meaningful impact in the energy sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Products Quantitative Risk Modeler
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at ExxonMobil. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by diving deep into quantitative risk topics. Brush up on your knowledge of oil products and risk management models. We want to see your passion and expertise shine through!
✨Tip Number 3
Showcase your skills with real-world examples. When discussing your experience, relate it back to how it can benefit ExxonMobil's trading strategies and risk management. Make it relevant!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Lead Products Quantitative Risk Modeler
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Products Quantitative Risk Modeler role. Highlight your experience in quantitative risk management and any relevant projects you've worked on, especially those related to oil products or energy markets.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about this role at ExxonMobil. Share specific examples of how your skills align with the job description and how you can contribute to our mission of creating sustainable solutions.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python, R, or MATLAB. We want to see how you’ve applied these skills in real-world scenarios, especially in risk analysis or model development.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. This way, we can easily track your application and ensure it reaches the right team!
How to prepare for a job interview at Exxon Mobil
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative risk management knowledge. Be ready to discuss advanced statistical methods, Monte Carlo simulations, and option theory. They’ll likely want to see how you can apply these concepts to real-world scenarios, especially in the context of oil products.
✨Showcase Your Programming Skills
Since proficiency in programming languages like Python, R, and SQL is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain how you've used these tools in past projects, so have some examples ready.
✨Understand the Energy Market
Familiarise yourself with the current trends and challenges in the energy market, particularly around oil products. Being able to discuss recent developments or changes in regulations will show that you’re not just knowledgeable but also genuinely interested in the field.
✨Communicate Complex Ideas Simply
You’ll need to communicate complex quantitative concepts to various stakeholders. Practice explaining your work in simple terms, as if you were talking to someone without a technical background. This will demonstrate your ability to bridge the gap between technical analysis and business strategy.
