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

2026UKH - Lead Crude Quantitative Risk Modeler

Full-Time 72000 - 108000 £ / year (est.) No home office possible
Exxon Mobil

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 private healthcare, gym access, and a share incentive plan.
  • 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 72000 - 108000 £ 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 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.

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 Crude Quantitative Risk Modeler employer: Exxon Mobil

ExxonMobil is an exceptional employer that fosters a culture of innovation and collaboration, empowering employees to contribute to sustainable energy solutions. Located in London, our team enjoys a dynamic work environment with access to comprehensive benefits, including private healthcare and a free gym at most UK sites, alongside ample opportunities for personal and professional growth. Join us to be part of a diverse workforce dedicated to advancing modern living while reducing emissions.
Exxon Mobil

Contact Detail:

Exxon Mobil 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, especially those at ExxonMobil. A friendly chat can open doors that applications alone can't.

✨Tip Number 2

Prepare for interviews by brushing up on your technical skills and industry knowledge. Be ready to discuss your experience with quantitative risk models and how they apply to crude oil markets.

✨Tip Number 3

Showcase your problem-solving skills! During interviews, share specific examples of how you've tackled complex quantitative challenges in the past.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed and you’re considered for the role.

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 Lead Crude Quantitative Risk Modeler role. Highlight your relevant experience in quantitative risk management and any specific projects related to crude oil markets. We want to see how your skills align with what we do at ExxonMobil!

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 background makes you a great fit for our team. Don’t forget to mention any advanced statistical analysis or programming skills you have – they’re super important for this role!

Showcase Your Technical Skills: Since this role requires proficiency in programming languages like Python, R, and SQL, make sure to highlight these skills prominently. If you've worked on any relevant projects or models, share those experiences with us to demonstrate your expertise!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to our recruitment team. Plus, you can easily keep track of your application status there!

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, especially in relation to crude oil markets. Be ready to discuss specific models you've developed or worked with, and how they apply to trading strategies.

✨Showcase Your Technical Skills

Since proficiency in programming languages like Python, R, and SQL is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to quantitative analysis.

✨Understand the Energy Landscape

Familiarise yourself with current trends in energy commodities and carbon markets. Being able to discuss recent developments or changes in these areas will show that you're not just knowledgeable but also engaged with the industry.

✨Communicate Complex Ideas Simply

You’ll need to explain complex quantitative concepts to various stakeholders. Practice breaking down intricate topics into simpler terms, as effective communication is key in this role. Think of examples where you've successfully done this in the past.

2026UKH - Lead Crude Quantitative Risk Modeler
Exxon Mobil

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>