Senior Power Markets Quantitative Risk Modeler

Exxonmobil; England; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Generous relocation allowance

Pension plan (Defined Benefit)

Share incentive plan

Private healthcare for employees and 1

Gym access at UK sites

Job summary

ExxonMobil is seeking a highly qualified Quantitative Risk professional to support Upstream Gas & Power and Downstream Crude & Products trading activities. The role focuses on developing valuation models, risk systems, and hedging strategies across energy markets.

You will work with Python, R, MATLAB and SQL, applying advanced statistics and Monte Carlo techniques to optimize risk controls and asset valuations for a dynamic trading environment.

Qualifications

• Advanced degree in a STEM or business discipline with strong quantitative focus.
• Experience/knowledge of Power markets and energy commodities.
• Solid understanding of option theory, Monte Carlo methods and optimization.
• Knowledge of energy and carbon markets, origination, trading strategies and risk management.

Responsibilities

• Develop and maintain quantitative valuation models for Power markets.
• Develop and maintain risk models for Trading Strategies, Risk Management, and Forward Curve simulations.
• Analyze structured deals to support asset valuations and hedging strategies.
• Apply statistical analysis to scenario analysis and stress testing.
• Model volatilities and correlations (historical and implied).
• Suggest improvements to risk models and communicate recommendations to stakeholders.
• Collaborate with Management, Traders, Originators and Risk Management teams.

Skills

Power markets

Quantitative analysis

Option theory

Statistical modeling

Programming (Python, R, MATLAB)

SQL programming

Education

Master/MBA/PhD in Finance/Economics/Statistics/Math/Engineering/CS

Tools

Endur

Allegro

Tableau

Job description

ExxonMobil is seeking a highly qualified Quantitative Risk professional to support Upstream Gas & Power and Downstream Crude & Products trading activities. The role focuses on developing valuation models, risk systems, and hedging strategies across energy markets.

You will work with Python, R, MATLAB and SQL, applying advanced statistics and Monte Carlo techniques to optimize risk controls and asset valuations for a dynamic trading environment.