Quantitative Analyst Trading Strategies, Gas & Power

Exxon Mobil; Singapore; On-site; SGD 100,000 - 180,000; Full time

Job summary

ExxonMobil in Singapore seeks a Quantitative Analyst for Gas & Power trading strategies. You will build and maintain models for trading, risk, and optimization across regional and global markets, collaborating with traders and tech teams to deploy scalable analytics.

The role requires 5+ years in energy quantitative trading, advanced statistics, ML, and strong Python/BIG data skills. Regional market knowledge and production-ready tools are essential.

Qualifications

• Master’s or PhD in a quantitative field with strong mathematical foundations.
• 5+ years in energy/commodity trading or related quantitative environments.
• Proven ability to translate data into trading insights, strategies, and risk controls.

Responsibilities

• Develop and maintain quantitative models for trading strategy, valuation, and risk.
• Apply advanced statistics and ML for market opportunities and signals.
• Build analytical frameworks for market fundamentals, price formation, and cross-commodity links.
• Collaborate with traders to design hedging and trading strategies.
• Analyze physical and financial optionality across gas and power markets.
• Develop valuation models for assets and structured opportunities.
• Conduct back-testing, scenario analysis, and forecasting to improve performance.
• Create dashboards and analytics platforms to boost trading efficiency.
• Support asset valuation and commercial decision-making with quantitative insights.
• Provide expertise on derivatives, optimization techniques, and risk methods.
• Partner with tech/data teams for production-ready analytics solutions.
• Evaluate model performance and governance, driving enhancements.
• Stay current on quantitative finance, ML, and commodity analytics.
• Communicate complex findings clearly to traders and stakeholders.
• Contribute to best practices in quantitative methods and governance.

Skills

Python

Pandas

NumPy

SciPy

StatsModels

Scikit-learn

Time-series analysis

Econometrics

Monte Carlo simulation

Derivatives pricing

Portfolio optimization

Risk management

Machine learning

Gas & Power markets knowledge

Communication to traders

Education

Master’s or PhD in Finance, Economics, Statistics, CS, Math, Engineering, Physics, OR related quantitative field

Tools

Git

Cloud analytics platforms

Job description

Quantitative Analyst Trading Strategies, Gas & Power

Location: Singapore, SG, 98633

Company Name: ExxonMobil

What role you will play in our team

In this role, you will support Gas & Power trading activities across regional and global energy markets, develop quantitative models, frameworks, and tools to help trading, risk management, and commercial optimization.

What you will do

• Research, develop, and maintain quantitative models supporting trading strategy development, valuation, portfolio optimization, and risk management across gas and power markets.
• Apply advanced statistical, econometric, and quantitative techniques to identify market opportunities, trading signals, and portfolio optimization strategies.
• Develop analytical frameworks that evaluate market fundamentals, price formation, supply and demand dynamics, volatility, and cross-commodity relationships.
• Partner closely with traders to identify, evaluate, and implement trading and hedging strategies.
• Analyze physical and financial optionality across gas, power, and related commodity markets, translating insights into actionable recommendations.
• Develop, validate, and maintain valuation models for 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 to 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.
• Evaluate model performance, conduct validation exercises, and implement enhancements to improve accuracy and commercial value.
• Remain current on developments in quantitative finance, machine learning, data science, and commodity market analytics to continually enhance capabilities.
• Communicate complex analytical findings, strategy performance, and model outputs to traders and stakeholders clearly and concisely.
• Contribute to the development of quantitative best practices, analytical methodologies, and model governance standards across the organization.

What you bring

• Master’s or PhD degree in Finance, Economics, Statistics, Computer Science, Mathematics, Engineering, Physics, Operations Research, or a related quantitative discipline.
• 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 and related 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 both quantitative and non‑quantitative stakeholders.
• Demonstrated ability to work collaboratively in a fast‑paced front‑office environment while managing multiple priorities.

Preferred Qualifications

• 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 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 impactful trading and portfolio management solutions.
• Demonstrated ability to translate quantitative research into practical trading applications that create measurable commercial value.