Lead Quantitative Risk Modeler, Energy Markets

Lead Quantitative Risk Modeler, Energy Markets

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
ExxonMobil

At a Glance

  • Tasks: Develop and validate quantitative models for energy markets, focusing on risk management and trading strategies.
  • Company: Join ExxonMobil, a leader in the energy sector with a commitment to innovation.
  • Benefits: Enjoy competitive salary, generous resettlement allowance, private healthcare, and free gym access.
  • Other info: Dynamic work environment with opportunities for professional growth and development.
  • Why this job: Make an impact in energy markets while working with advanced statistical analysis and cutting-edge technology.
  • Qualifications: Advanced degree in STEM fields and experience in energy quantitative risk required.

The predicted salary is between 80000 - 100000 £ per year.

We are looking for qualified and highly experienced individuals to support ExxonMobil’s Risk Management function as part of the Quantitative Risk team within the Trading Risk & Compliance organization. The successful candidate will help support Upstream Gas & Power and Downstream Crude & Products trading activities.

What you will do:

  • Develop, validate, maintain quantitative valuation models of Oil Products (Gasoline, Jet Fuel, Heating Oil, etc.) 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 - 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 Oil Products (Gasoline, Jet Fuel, Heating Oil, etc.) 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 (e.g., PCA) and mathematical optimization methods (e.g., 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, and programming in SQL.
  • Credit Risk Modeling experience is a plus.

Preferred Qualifications/Experience:

  • Familiarity with energy commodities ETRM systems (e.g., Endur, Allegro, etc.) and experience with Tableau or comparable analytics platforms is a plus.

Benefits:

  • Competitive starting salary
  • Generous resettlement allowance
  • Defined Benefit Pension scheme
  • Share incentive plan
  • Private healthcare for employees and their families
  • Free gym at most UK sites

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, the Recruitment Team is available to discuss any particular requirements to enable you to complete our recruitment process.

Lead Quantitative Risk Modeler, Energy Markets employer: ExxonMobil

ExxonMobil is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the Quantitative Risk team. Employees benefit from competitive salaries, generous resettlement allowances, and comprehensive healthcare plans, alongside opportunities for professional growth in the thriving energy sector. With a commitment to equal opportunity and a supportive culture, ExxonMobil empowers its workforce to excel in their roles while contributing to impactful trading strategies in the energy markets.

ExxonMobil

Contact Details:

ExxonMobil Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Quantitative Risk Modeler, Energy Markets

Tip Number 1

Network like a pro! Reach out to folks in the energy sector, especially those who work with quantitative risk. A friendly chat can open doors and give you insights that job descriptions just can't.

Tip Number 2

Show off your skills! If you've got experience with Python, R, or MATLAB, make sure to highlight that in conversations. Maybe even bring along a project or two to discuss how you tackled real-world problems.

Tip Number 3

Prepare for those tricky questions! Brush up on option theory and Monte Carlo simulations. Being able to explain complex concepts clearly will impress interviewers and show you're the right fit for the team.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our awesome team at ExxonMobil.

We think you need these skills to ace Lead Quantitative Risk Modeler, Energy Markets

Quantitative Analysis
Risk Management
Valuation Models
Statistical Analysis
Monte Carlo Simulation
Mathematical Optimization
Energy Commodities Knowledge

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Lead Quantitative Risk Modeler role. Highlight your experience in energy markets and quantitative analysis, and don’t forget to mention any relevant programming skills. We want to see how your background aligns with what we’re looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about risk management in energy markets. Share specific examples of your work that demonstrate your expertise and how you can contribute to our team at StudySmarter.

Showcase Your Skills:Don’t just list your skills; show us how you’ve applied them! Whether it’s through projects, previous roles, or academic work, provide concrete examples of how you’ve used statistical analysis, model development, or programming in real-world scenarios.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!

How to prepare for a job interview at ExxonMobil

Know Your Models Inside Out

Make sure you’re well-versed in the quantitative valuation models relevant to Oil Products. Be prepared to discuss how you’ve developed, validated, and maintained these models in your previous roles. This will show that you not only understand the theory but also have practical experience.

Brush Up on Statistical Techniques

Since the role involves advanced statistical analysis, it’s crucial to be familiar with techniques like Monte Carlo simulations and option theory. Practise explaining these concepts clearly, as you’ll need to communicate complex ideas to various stakeholders, including traders and management.

Demonstrate Your Programming Skills

Proficiency in programming languages like Python, R, or MATLAB is essential. Be ready to discuss specific projects where you’ve used these skills to solve problems or enhance risk management models. If you have experience with SQL, don’t forget to mention that too!

Stay Updated on Market Trends

Familiarise yourself with current trends in energy markets, including oil, gas, and renewables. Being able to discuss recent developments or changes in market dynamics will demonstrate your passion for the field and your ability to adapt to evolving needs.