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 excel.
- Why this job: Make a real impact in the energy sector with advanced quantitative analysis.
- Qualifications: Strong background in quantitative analysis and risk management in trading.
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 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 culture that values diversity and inclusion. Join us to be part of a forward-thinking organisation that prioritises employee growth while tackling complex challenges in the energy sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Crude Quantitative Risk Modeler
✨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 current employees at ExxonMobil or similar companies. A friendly chat can sometimes lead to job opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your quantitative models and analyses. When you get the chance to meet potential employers, whether in interviews or networking events, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Stay updated on industry trends! Follow news related to crude oil markets and risk management strategies. Being able to discuss recent developments during interviews shows your passion and commitment to the field, making you a more attractive candidate.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job. Plus, applying directly can sometimes give you an edge over other candidates. So, what are you waiting for? Get your application in!
We think you need these skills to ace Lead Crude Quantitative Risk Modeler
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights 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 is your chance to shine! Use it to explain why you're passionate about risk management and how your background makes you a perfect fit for our team. Keep it engaging and relevant to the job description.
Showcase Your Analytical Skills:In your application, don’t forget to mention any advanced statistical analysis or econometric techniques you've used. We’re looking for someone who can dive deep into data and provide actionable insights, so let us know what you’ve done!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
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 Risk Management Strategies
Familiarise yourself with various risk management models and trading strategies. Be ready to explain how you’ve applied advanced statistical analysis in past roles, especially in scenario analysis and stress testing methodologies. This will show that you can contribute effectively to ExxonMobil’s Risk Management function.
✨Communicate Complex Ideas Simply
Since you'll be communicating with a range of stakeholders, practice explaining complex quantitative concepts in straightforward terms. Think about examples where you’ve successfully communicated recommendations to management or traders, and be ready to share those stories.
✨Stay Current with Market Trends
Keep an eye on the latest trends in energy commodities and derivative trading. Being able to discuss recent market developments and their implications for risk management will demonstrate your proactive approach and genuine interest in the field.
