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- Tasks: Provide risk assessment and valuation for gas and power assets while supporting traders.
- Company: Join ExxonMobil, a leader in energy with a commitment to employee growth.
- Benefits: Enjoy competitive salary, private healthcare, and a defined benefit pension scheme.
- Other info: Dynamic work environment with opportunities for personal and professional development.
- Why this job: Make an impact in the energy sector with innovative projects and advanced analytics.
- Qualifications: Strong quantitative skills with experience in gas and power valuation or optimisation.
The predicted salary is between 48000 - 72000 £ per year.
What you will do:
- Provide fair valuation and independent risk assessment for gas storage, swing options, pipeline capacity rights, load following structures and power asset linked deals, quantifying operational, volume, flexibility and market optionality.
- Support traders and originators with structure design, including exercise rules, dispatch/flow logic, strike/index formulas, exposure mapping, sensitivities and commercial explanation of optionality value drivers.
- Build valuation templates and analytics tools capable of modelling storage injection/withdrawal optimization, swing flexibility, dispatch optionality and capacity arbitrage, using stochastic, scenario based and optimisation techniques.
- Contribute optionality and valuation insight to large global corporate projects, such as long term gas supply frameworks, optimization of cross border capacity, and power asset commercialisation initiatives.
- Advise on hedging strategies for complex exposures across gas hubs (NBP, TTF, Henry Hub), power markets, capacity rights and cross commodity structures, identifying hedgeable and residual components.
- Conduct back testing, assumption validation and parameter research, including calibration of illiquid curves, volatility structures, correlation frameworks and dispatch driven price dynamics.
- Collaborate with quant modelling/technology/data teams to ensure robust model deployment, integration into FO tools, and support for asset optimisation workflows.
What you bring:
- Strong quantitative background (MSc/PhD preferred) with Front Office Gas & Power valuation/structuring or optimisation experience.
- Expertise in storage modelling, swing option valuation, pipeline/transport optionality, and power asset/dispatch optionality, alongside strong option pricing and curve/vol modelling skills.
- Advanced Python for pricing tools, optimisation routines and scalable analytics.
- Ability to communicate complex optimisation and valuation logic clearly to traders and commercial teams.
- Experience calibrating illiquid parameters and running back tests for storage/swing/power optionality frameworks.
- Understanding of gas hubs, power markets, capacity auctions, congestion patterns, spark/dark spreads, and operational constraints across pipes and generation assets.
- High attention to detail, strong documentation discipline and a proactive improvement mindset.
Your benefits:
An ExxonMobil career is one designed 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
Please note benefits may be changed from time to time without notice, subject to applicable law.
Structuring Quant in London employer: ExxonMobil Corporation
Contact Detail:
ExxonMobil Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Structuring Quant in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to gas and power valuation. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills through projects or case studies. If you’ve built any valuation models or analytics tools, share them! We love seeing practical applications of your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals who fit our culture and values.
We think you need these skills to ace Structuring Quant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Structuring Quant role. Highlight your quantitative background and any relevant experience in gas and power valuation. We want to see how your skills match what we’re looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of your work with Python, storage modelling, or optimisation techniques. This helps us see your practical experience in action.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate a well-structured application that communicates your qualifications without unnecessary fluff. Remember, clarity is key!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at ExxonMobil Corporation
✨Know Your Numbers
Make sure you brush up on your quantitative skills before the interview. Be ready to discuss specific valuation techniques and optimisation methods you've used in the past. This role requires a strong grasp of complex calculations, so demonstrating your expertise will set you apart.
✨Speak Their Language
Familiarise yourself with industry jargon related to gas hubs, power markets, and optionality. When discussing your experience, use terms like 'swing options' and 'dispatch logic' to show that you understand the nuances of the role. This will help you connect with the interviewers and demonstrate your fit for the position.
✨Showcase Your Tools
Be prepared to talk about your experience with Python and any analytics tools you've developed. Bring examples of how you've built valuation templates or conducted back testing. If you can share specific projects where you've optimised processes or improved models, it will highlight your practical skills.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company's projects and challenges. Inquire about their approach to hedging strategies or how they integrate quant models into their workflows. This not only demonstrates your enthusiasm but also gives you a chance to assess if the company aligns with your career goals.