Inactive
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ExxonMobil

Produces oil, gas, fuels and chemical materials

Valuation and Structuring Quantitative Analyst - Gas and Power

Quantitative ResearchPosted on Oct 20
Full-timeLondon, UKIn-person

About the Job

Requirements

  • A strong quantitative background and Front Office Gas and Power valuation, structuring, or optimisation experience.
  • Expertise in storage modelling, swing option valuation, pipeline or transport optionality, and power asset or dispatch optionality, along with strong option pricing and curve and volatility modelling skills.
  • Advanced Python skills for pricing tools, optimisation routines, and scalable analytics.
  • Experience calibrating illiquid parameters and running back tests for storage, swing, and power optionality frameworks.
  • Understanding of gas hubs, power markets, capacity auctions, congestion patterns, spark and dark spreads, and operational constraints across pipelines and generation assets.

Responsibilities

  • Provide fair valuation and independent risk assessment for gas storage, swing options, pipeline capacity rights, load-following structures, and power-asset-linked deals, quantifying operational, volume, flexibility, and market optionality.
  • Support traders and originators with structure design, including exercise rules, dispatch and flow logic, strike and index formulas, exposure mapping, sensitivities, and commercial explanations of optionality value drivers.
  • Build valuation templates and analytics tools to model storage injection and withdrawal optimisation, swing flexibility, dispatch optionality, and capacity arbitrage using stochastic, scenario-based, and optimisation techniques.
  • Contribute optionality and valuation insight to large global corporate projects, including long-term gas supply frameworks, cross-border capacity optimisation, and power-asset commercialisation initiatives.
  • Advise on hedging strategies for complex exposures across gas hubs, power markets, capacity rights, and cross-commodity structures, identifying hedgeable and residual components.
  • Conduct back testing, assumption validation, and parameter research, including calibration of illiquid curves, volatility structures, correlation frameworks, and dispatch-driven price dynamics.
  • Collaborate with quantitative modelling, technology, and data teams to ensure robust model deployment, integration into front-office tools, and support for asset optimisation workflows.

Desired Qualifications

  • A Master of Science or PhD is preferred.

About the Company

ExxonMobil

Produces oil, gas, fuels and chemical materials

ExxonMobil produces oil and natural gas and manufactures fuels, lubricants, and chemicals for transport operators, industrial customers, and consumers around the world. Its businesses span resource exploration and production, refineries that turn crude oil into fuels, and plants that make plastics and other chemical materials. The company sells products through wholesale supply agreements and the Exxon, Esso, and Mobil brands, including motor oils for vehicles and machinery. It also sells services that capture, transport, and store industrial carbon dioxide underground. The merged company formed in 1999 from Exxon and Mobil, with roots in earlier oil businesses, and is headquartered in Spring, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Spring, TX
Founded
1999

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