Quantitative Analyst Trading Strategies, Gas & Power
Singapore, SG, 98633
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingResearch, develop and maintain quantitative models for valuation, portfolio optimization and risk
Partner with traders to evaluate and implement trading and hedging strategies
Run statistical analysis, forecasting, scenario analysis and back-testing of trading strategies
Build and maintain analytical tools, dashboards and quantitative infrastructure
Develop and validate valuation models for assets and structured transactions
From the employer’s posting
Research, develop, and maintain quantitative models for valuation, portfolio optimization, and risk management across gas and power markets.
Partner closely with traders to identify, evaluate, and implement trading and hedging strategies that capture market opportunities and optimize portfolio performance.
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.
Develop, validate, and maintain valuation models used to assess assets, structured transactions, trading opportunities, and complex commercial exposures.
What you’ll bring
All qualificationsCore experience
- 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.
- 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.
Preferred experience
- 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.
Qualification wording
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.
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.
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.
Education & alternatives
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.
Preferred Qualifications - PhD degree in a quantitative discipline. - Experience supporting gas and power trading desks in a front-office quantitative analytics capacity.
Tools in this posting
- Python
- NumPy
- pandas
- scikit-learn
- Scipy
Source — Tool mentions in context
- 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.
Benefits in the posting
Full benefits wording- An ExxonMobil career is one designed to last and we provide job rotations throughout your career with us. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life. Currently our employees' benefits include long term savings allowance, dental reimbursement, annual health checkups and home ownership assistance plan amongst others and these are updated from time to time.
- Stay connected with us
- Alternate Location:
From the employer’s posting.
About ExxonMobil
At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- Jul 22, 2026 · 88 days ago
- Recorded sightings
- 626
- Last seen by us
- Oct 18, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.exxonmobil.com. The employer’s form will show what is required.
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Job description
About us
At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.
What role you will play in our team
If successful, you will be an integral part of our Global Trading Analytics organization, supporting Gas & Power trading activities across regional and global energy markets. We are seeking a highly motivated quantitative analyst with strong modeling, analytical, and trading strategy development capabilities to design and enhance quantitative models, analytical frameworks, and decision-support tools that enable trading, risk management, and commercial optimization.
In this role, you will work closely with traders, quantitative analysts, fundamental analysts, technologists, and risk professionals to identify, develop, evaluate, and implement trading and hedging strategies across gas, power, and related commodity markets. You will contribute to the development of scalable state-of-the-art quantitative solutions that support market analysis, asset optimization, portfolio management, and commercial decision-making in a fast-paced trading environment.
What you will do
- 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 their daily business.
- Partner closely 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.
- Remain current on developments in quantitative finance, machine learning, data science, and commodity market analytics to continually enhance analytical capabilities.
- Communicate complex analytical findings, strategy performance, and model outputs to traders and commercial stakeholders in a clear and concise manner.
- 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, 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 both quantitative and non-quantitative stakeholders.
- Demonstrated ability to work collaboratively in a fast-paced front-office environment while managing multiple priorities.
Preferred Qualifications
- 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 impactful trading and portfolio management solutions.
- Demonstrated ability to translate quantitative research into practical trading applications that create measurable commercial value.
Your benefits
An ExxonMobil career is one designed to last and we provide job rotations throughout your career with us. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life. Currently our employees' benefits include long term savings allowance, dental reimbursement, annual health checkups and home ownership assistance plan amongst others and these are updated from time to time.
Alternate Location:
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
Source details
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- Location & working pattern
Singapore, SG, 98633
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