Gas & Power Quant Trading Strategist

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

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.