At a Glance
- Tasks: Develop and maintain quantitative models for Crude Oil markets and risk management strategies.
- Company: Join ExxonMobil, a leader in energy and risk management.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Dynamic team environment with opportunities to innovate and lead.
- Why this job: Make a real impact in the energy sector with advanced quantitative analysis.
- Qualifications: Strong background in energy trading, risk analysis, and econometric methods.
The predicted salary is between 80000 - 100000 £ per year.
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:
- Energy Commodity & Derivative Trading
- Energy Risk Analysis & Mitigation
- Econometric Analysis
- Market Pricing Mechanisms
- Financial Markets Execution
Lead Crude Quantitative Risk Modeler in London employer: Exxon Mobil
ExxonMobil is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the Quantitative Risk team. Located in a vibrant industry hub, employees benefit from comprehensive professional development opportunities, competitive compensation, and a strong commitment to work-life balance, making it an ideal place for those seeking meaningful and rewarding careers in risk management.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Crude Quantitative Risk Modeler in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy trading and risk management sectors. Use platforms like LinkedIn to connect with people at ExxonMobil or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Prepare for interviews by brushing up on your quantitative analysis skills. Be ready to discuss your experience with risk management models and how you've applied statistical analysis in real-world scenarios. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 3
Showcase your expertise! Create a portfolio that highlights your work on valuation models, risk management strategies, and any relevant projects. This will give potential employers a tangible sense of what you can bring to the table, especially in a technical role like Lead Crude Quantitative Risk Modeler.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your skills and experience. Plus, it shows you're genuinely interested in joining our team at StudySmarter and contributing to our mission.
We think you need these skills to ace Lead Crude Quantitative Risk Modeler in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in quantitative risk modelling and energy trading. We want to see how your skills align with the specific requirements of the Lead Crude Quantitative Risk Modeler role.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this position. Share your passion for risk management and how your background in econometric analysis can contribute to our team at ExxonMobil.
Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical skills. Provide examples of how you've applied advanced statistical analysis in previous roles, especially in relation to trading strategies and risk management.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Exxon Mobil
✨Know Your Models Inside Out
Make sure you’re well-versed in the quantitative valuation models relevant to crude oil markets. Be prepared to discuss your experience with developing, validating, and maintaining these models, as well as any specific challenges you've faced and how you overcame them.
✨Brush Up on Statistical Analysis
Since the role involves advanced statistical analysis, it’s crucial to demonstrate your proficiency in this area. Review key concepts related to scenario analysis and stress testing methodologies, and be ready to explain how you’ve applied these techniques in past roles.
✨Communicate Complex Ideas Simply
You’ll need to convey complex risk management concepts to various stakeholders. Practice explaining your work in a straightforward manner, focusing on how your recommendations can impact trading strategies and risk management decisions.
✨Stay Current with Market Trends
Familiarise yourself with the latest trends in energy commodity trading and risk management. Being able to discuss recent developments or changes in market pricing mechanisms will show that you’re engaged and knowledgeable about the industry.
