2026UKH - Lead Crude Quantitative Risk Modeler
2026UKH - Lead Crude Quantitative Risk Modeler

2026UKH - Lead Crude Quantitative Risk Modeler

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

At a Glance

  • Tasks: Develop and maintain quantitative models for Crude Oil markets and risk management strategies.
  • Company: Join ExxonMobil, a leader in energy innovations and sustainability.
  • Benefits: Enjoy competitive salary, private healthcare, gym access, and a pension scheme.
  • 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 Crude Oil 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 Crude oil 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 Crude Quantitative Risk Modeler employer: ExxonMobil

At ExxonMobil, we pride ourselves on fostering a dynamic work environment that encourages innovation and personal growth. Our commitment to employee development is reflected in our comprehensive benefits package, including competitive salaries, private healthcare, and a generous pension scheme, all designed to support your well-being and career advancement. Join us in our UK location, where you will collaborate with a diverse team of experts dedicated to creating sustainable energy solutions that make a real difference in the world.
ExxonMobil

Contact Detail:

ExxonMobil Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land 2026UKH - Lead Crude Quantitative Risk Modeler

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with current employees at ExxonMobil. A friendly chat can open doors that applications alone can't.

✨Tip Number 2

Prepare for interviews by diving deep into ExxonMobil's values and recent projects. Show us you’re not just another candidate; demonstrate how your skills align with our mission to innovate in energy.

✨Tip Number 3

Practice your technical skills! Brush up on your quantitative analysis and programming knowledge. We want to see you shine when discussing complex topics related to risk management.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our team.

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

Quantitative Analysis
Risk Management
Statistical Analysis
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
Problem-Solving Skills
Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the role of Lead Crude Quantitative Risk Modeler. Highlight your relevant experience in energy commodities and quantitative risk management, and don’t forget to showcase your programming skills in Python or R!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the energy sector and how your background aligns with ExxonMobil’s mission. Be specific about your achievements and how they relate to the job.

Showcase Your Analytical Skills: Since this role involves a lot of quantitative analysis, make sure to include examples of your analytical work. Whether it’s modelling volatilities or conducting scenario analyses, let us see your expertise in action!

Apply Through Our Website: Don’t forget to apply 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 there.

How to prepare for a job interview at ExxonMobil

✨Know Your Numbers

As a Lead Crude Quantitative Risk Modeler, you'll need to be comfortable with quantitative analysis. Brush up on your statistical methods and ensure you can discuss how you've applied techniques like Monte Carlo simulations or option theory in past roles. Be ready to explain your thought process behind model development and validation.

✨Understand the Market

Familiarise yourself with the current trends in crude oil markets and energy commodities. Research recent developments and be prepared to discuss how they might impact risk management strategies. Showing that you’re up-to-date will demonstrate your genuine interest in the role and the industry.

✨Communicate Clearly

You’ll need to convey complex ideas to various stakeholders, from traders to management. Practice explaining your models and findings in simple terms. Use examples from your experience where you successfully communicated technical information to non-technical audiences.

✨Showcase Your Technical Skills

Proficiency in programming languages like Python, R, or MATLAB is crucial. Prepare to discuss specific projects where you used these skills, particularly in relation to risk management or quantitative analysis. If you have experience with ETRM systems or analytics platforms, make sure to highlight that as well.

2026UKH - Lead Crude Quantitative Risk Modeler
ExxonMobil

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