Lead Power Quantitative Risk Modeler

Responsibilities

• Develop, validate, and maintain quantitative valuation models for Power markets
• Support risk management models for trading strategies, real options valuation, and forward curve simulations
• Conduct quantitative analysis of structured deals to support asset valuations and hedging strategies
• Apply advanced statistical analysis to design and refine scenario analysis and stress test methodologies
• Model and estimate historical and implied volatilities and correlations
• Communicate complex quantitative recommendations to management, traders, and risk professionals

Requirements

• Advanced degree (Master’s, MBA, or Ph.D.) in a STEM field, Finance, or Economics
• Proven experience in Power markets and Energy Quantitative Risk or Structuring
• Strong understanding of option theory (Greeks) and Monte Carlo simulation techniques
• Proficiency in programming languages such as Python, R, or MATLAB
• Experience with SQL for data management

Preferred Qualifications

• Experience with energy commodities ETRM systems (e.g., Endur, Allegro)
• Proficiency with Tableau or comparable analytics platforms
• Experience in Credit Risk Modeling

Benefits

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

About the Company

Esso, part of the ExxonMobil family, is one of the world’s largest publicly traded energy and chemical companies. We are committed to leading in energy innovations that advance modern living while reducing emissions through our Upstream, Product Solutions, and Low Carbon Solutions businesses.