2026UKH - Lead Products Quantitative Risk Modeler
2026UKH - Lead Products Quantitative Risk Modeler

2026UKH - Lead Products Quantitative Risk Modeler

Full-Time 36000 - 60000 £ / year (est.) No home office possible
ExxonMobil

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 competitive salary, private healthcare, and a free gym at most UK sites.
  • 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.
  • Other info: Opportunities for personal and professional growth in a diverse workforce.

The predicted salary is between 36000 - 60000 £ per year.

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:

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 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.

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. 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.

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: ExxonMobil

At ExxonMobil, we pride ourselves on fostering a dynamic and inclusive work environment that encourages innovation and personal growth. As a leader in energy solutions, we offer competitive salaries, comprehensive benefits including private healthcare and a generous pension scheme, and opportunities for professional development within a diverse workforce. Join us in our mission to create sustainable solutions while enjoying the unique advantages of working in a collaborative and forward-thinking culture.
ExxonMobil

Contact Detail:

ExxonMobil 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 researching ExxonMobil's values and recent projects. Tailor your answers to show how your skills align with their mission of energy innovation and sustainability.

✨Tip Number 3

Practice your technical skills! Brush up on your quantitative analysis and programming knowledge, especially in Python and R. Be ready to showcase your expertise during technical interviews.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the ExxonMobil team.

We think you need these skills to ace 2026UKH - Lead Products Quantitative Risk Modeler

Quantitative Analysis
Risk Management
Statistical Analysis
Valuation Models
Monte Carlo Simulation
Mathematical Optimisation
Option Theory
Energy Commodities Knowledge
Programming in Python
Programming in R
Programming in MATLAB
SQL Proficiency
Credit Risk Modelling
Communication Skills
Adaptability

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 ExxonMobil’s mission. Keep it concise but impactful – we love a good story that connects your experience to our goals.

Showcase Your Technical Skills: Don’t forget to highlight your proficiency in programming languages like Python, R, or MATLAB. Mention any experience with risk management models or statistical analysis techniques. We’re keen on seeing how you can apply these skills to our trading activities!

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 ExxonMobil

✨Know Your Quantitative Stuff

Make sure you brush up on your quantitative risk management knowledge. Be ready to discuss advanced statistical methods, option theory, and Monte Carlo simulations. They’ll want to see that you can apply these concepts practically, so think of examples from your past work.

✨Understand the Energy Market

Familiarise yourself with the oil products market, including gasoline, jet fuel, and heating oil. Research current trends and challenges in the energy sector. This will help you demonstrate your industry knowledge and show that you're genuinely interested in the role.

✨Prepare for Technical Questions

Expect technical questions related to risk modelling and quantitative analysis. Practice explaining complex topics clearly, as you'll need to communicate effectively with various stakeholders. Use real-world scenarios to illustrate your points.

✨Showcase Your Programming Skills

Be ready to discuss your proficiency in programming languages like Python, R, or MATLAB. If you have experience with SQL or ETRM systems, highlight that too. Consider preparing a small project or example that showcases your coding skills relevant to risk management.

2026UKH - Lead Products Quantitative Risk Modeler
ExxonMobil

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