Lead Power Quantitative Risk Modeler

Exxon Mobil

Greater London

On-site

GBP 65,000 - 85,000

Full time

14 days+
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Benefits offered by this job

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

Job summary

ExxonMobil is seeking experienced professionals for a role in Risk Management, specifically within the Quantitative Risk team. The candidate will be responsible for developing and validating quantitative models related to Power markets while applying advanced statistical analysis to support trading activities.

The ideal applicant should possess a strong background in mathematics and programming with an emphasis on energy commodities. Key benefits include competitive salary, private healthcare, and a defined benefit pension scheme.

Qualifications

  • Strong Quantitative / Risk Management background.
  • Experience in Energy Quantitative Risk.
  • Solid understanding of option theory and Monte Carlo simulation techniques.

Responsibilities

  • Develop, validate, maintain quantitative valuation models of Power markets.
  • Conduct quantitative analysis of structured deals and support market-based asset valuations.
  • Communicate recommendations on complex topics to a variety of constituents.

Skills

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
Energy Quantitative Risk, Structuring, or Risk Analysis in Energy Commodities
Solid understanding of option theory
Knowledge of global/domestic energy and carbon markets
Proficiency in Python, R, MATLAB, or other programming languages
Credit Risk Modeling experience

Education

Advanced degree in a relevant field

Tools

Python
R
MATLAB
SQL
ETRM systems
Tableau or comparable analytics platforms

Job description

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. Learn more about our What and our Why and how we can work together.

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.
Your benefits

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:

  • 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

Please note benefits may be changed from time to time without notice, subject to applicable law.

Functional Skills
  • Energy Commodity & Derivative Trading
  • Energy Risk Analysis & Mitigation
  • Econometric Analysis
  • Market Pricing Mechanisms
  • Financial Markets Execution
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