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ExxonMobil

Produces oil, gas, fuels and chemical materials

Quantitative Analyst Trading Strategies - Gas & Power

Quantitative ResearchUpdated on Nov 14
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A Master's or PhD degree in Finance, Economics, Statistics, Computer Science, Mathematics, Engineering, Physics, Operations Research, or a related quantitative discipline.
  • At least 5 years of experience in energy trading, commodity trading, investment banking, hedge funds, asset management, or related quantitative trading environments.
  • Strong quantitative and analytical problem-solving skills, with the ability to develop practical solutions to complex commercial and trading challenges.
  • Experience developing quantitative models supporting trading strategy development, portfolio optimization, valuation, and risk management.
  • Strong understanding of gas and power markets, market fundamentals, trading strategies, and risk management concepts.
  • Knowledge of derivatives pricing, option theory, stochastic processes, statistical modeling, and quantitative finance methodologies.
  • Experience with econometric techniques, time-series analysis, forecasting, and machine learning applications within trading environments.
  • Proficiency in Python and experience with quantitative analytics libraries such as Pandas, NumPy, SciPy, StatsModels, and Scikit-learn.
  • Experience working with large and complex datasets to identify market opportunities and generate actionable business insights.
  • Understanding of Monte Carlo simulation, optimization techniques, dynamic programming, and advanced statistical methods.
  • Knowledge of portfolio analytics, market risk concepts, performance measurement, and quantitative strategy evaluation.
  • Ability to communicate technical concepts effectively to quantitative and non-quantitative stakeholders.
  • Demonstrated ability to work collaboratively in a fast-paced front-office environment while managing multiple priorities.

Responsibilities

  • Research, develop, and maintain quantitative models for valuation, portfolio optimization, and risk management across gas and power markets.
  • Apply advanced statistical, econometric, and quantitative techniques to identify market opportunities and support trading in daily business.
  • Partner with traders to identify, evaluate, and implement trading and hedging strategies that capture market opportunities and optimize portfolio performance.
  • Analyze physical and financial optionality across gas, power, and related commodity markets, translating quantitative insights into commercially actionable recommendations.
  • Develop, validate, and maintain valuation models used to assess assets, structured transactions, trading opportunities, and complex commercial exposures.
  • Conduct statistical analysis, forecasting, scenario analysis, and back-testing to evaluate trading strategies and improve predictive performance.
  • Build and maintain analytical tools, dashboards, and quantitative infrastructure that improve trading efficiency, market understanding, and decision support.
  • Support asset valuation and commercial analysis initiatives through quantitative modeling, opportunity assessment, and risk evaluation.
  • Provide quantitative expertise on derivatives, structured products, portfolio optimization techniques, and risk management approaches.
  • Collaborate with technology and data teams to develop scalable, production-ready quantitative solutions and analytics platforms.
  • Stay current on developments in quantitative finance, machine learning, data science, and commodity market analytics to enhance analytical capabilities.
  • Communicate analytical findings, strategy performance, and model outputs to traders and commercial stakeholders.
  • Contribute to quantitative best practices, analytical methodologies, and model governance standards across the organization.

Desired Qualifications

  • A PhD degree in a quantitative discipline.
  • Experience supporting gas and power trading desks in a front-office quantitative analytics capacity.
  • Knowledge of regional and global gas, LNG, and power markets, including market fundamentals, pricing mechanisms, and trading dynamics.
  • Experience developing algorithmic, systematic, or discretionary trading strategies within commodity or financial markets.
  • Experience applying machine learning, artificial intelligence, or advanced data science techniques to market forecasting and trading strategy development.
  • Knowledge of physical optionality, asset optimization, structured transactions, and commercial strategy evaluation.
  • Experience with cloud-based analytics platforms, distributed computing environments, and modern data architectures.
  • Proficiency in software engineering best practices, including object-oriented programming, version control, testing, and model deployment.
  • Experience collaborating directly with traders and commercial stakeholders to deliver trading and portfolio management solutions.
  • Ability to translate quantitative research into practical trading applications that create measurable commercial value.

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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