2026UKH - Lead Power Quantitative Risk Modeler
2026UKH - Lead Power Quantitative Risk Modeler

2026UKH - Lead Power Quantitative Risk Modeler

Full-Time 43200 - 72000 £ / year (est.) No home office possible
Exxon Mobil

At a Glance

  • Tasks: Develop and maintain quantitative models for Power 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 supportive workplace.

The predicted salary is between 43200 - 72000 £ per year.

Please note: A system upgrade will occur from mid-March through early April, which may result in temporary delays in certain processes. For assistance, please reach out to your Recruiter by email.

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 Power 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 Power 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 Power Quantitative Risk Modeler employer: Exxon Mobil

ExxonMobil is an exceptional employer, offering a dynamic work environment in London where innovation and sustainability are at the forefront of our mission. Our commitment to employee growth is reflected in comprehensive benefits, including private healthcare and a share incentive plan, alongside a vibrant culture that encourages collaboration and the sharing of ideas. Join us to be part of a diverse team dedicated to advancing energy solutions while enjoying opportunities for personal and professional development.
Exxon Mobil

Contact Detail:

Exxon Mobil Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land 2026UKH - Lead Power 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 sometimes lead to opportunities that aren’t even advertised.

✨Tip Number 2

Prepare for interviews by practising common questions and scenarios related to quantitative risk modelling. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your skills effectively.

✨Tip Number 3

Showcase your technical skills! Be ready to discuss your experience with Python, R, or MATLAB during interviews. Bring examples of projects or models you’ve worked on to demonstrate your expertise in energy quantitative risk.

✨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 joining the ExxonMobil team and contributing to innovative energy solutions.

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

Quantitative Analysis
Risk Management
Power Markets Knowledge
Statistical Analysis
Monte Carlo Simulation
Mathematical Optimization
Programming in Python
Programming in R
Programming in MATLAB
SQL Proficiency
Credit Risk Modelling
Energy Commodities Knowledge
Communication Skills
Analytical Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Lead Power Quantitative Risk Modeler role. Highlight your relevant experience in quantitative risk management and energy markets, 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 energy innovations and how your background aligns with ExxonMobil’s vision. Keep it concise but impactful!

Showcase Your Skills: In your application, be sure to highlight your advanced degree and any specific projects or experiences that demonstrate your expertise in risk analysis and modelling. We want to see what makes you stand out!

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details you need about the role and our company 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. Be ready to discuss advanced statistical methods, Monte Carlo simulations, and option theory. Prepare examples from your past work that showcase your expertise in these areas.

✨Understand the Power Markets

Familiarise yourself with the current trends and challenges in power markets. Being able to discuss recent developments or case studies will show your genuine interest and understanding of the industry, which is crucial for a role at ExxonMobil.

✨Showcase Your Programming Skills

Since proficiency in Python, R, and SQL is key, be prepared to talk about specific projects where you've used these languages. If possible, bring along code snippets or examples of your work to demonstrate your technical abilities.

✨Communicate Clearly

You’ll need to explain complex topics to various stakeholders, so practice articulating your thoughts clearly and concisely. Consider doing mock interviews with friends or colleagues to refine your communication skills and get comfortable discussing intricate concepts.

2026UKH - Lead Power Quantitative Risk Modeler
Exxon Mobil

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