About this role
The Portfolio Analyst role provides fundamental research and quantitative analysis to support a commodity trading desk specialising in energy commodities. The role combines physical market expertise, coding and commercial judgement to inform trading and portfolio decisions.
- Key responsibilitiesAnalyse and forecast US natural gas supply, demand, storage, pipeline flows and LNG feedgas demand.
- Analyse regional power supply and demand, including electricity load, generation mix, renewable output, plant outages and transmission constraints.
- Assess regional gas pricing and basis relationships, power prices, generation economics and the interaction between gas and power markets.
- Evaluate weather, infrastructure developments, regulatory changes and supply disruptions and their implications for market balances and portfolio risks.
- Develop Python and SQL models to automate analysis, forecasting and reporting.
- Communicate findings to traders and portfolio managers through reports, dashboards and discussions.
- Translate research into actionable market views and trading recommendations.
- Qualifications and experienceBachelor’s degree in Finance, Economics, Mathematics, Statistics, Engineering or a related quantitative discipline; a relevant master’s degree is desirable.CFA qualification, or progress towards the charter, is advantageous.5–7 years of relevant experience in physical US natural gas and/or power markets, ideally at a utility, energy producer, power generator or physical commodity merchant.
- Strong understanding of US gas infrastructure, regional supply and demand balances, and organised wholesale power markets.
- Demonstrated experience applying physical market knowledge to forecasting, commercial analysis and trading decisions.
- Technical skillsStrong Python coding skills, including pandas and NumPy, for data analysis, modelling and automation.
- Proficiency in SQL for extracting, combining and validating large datasets.
- Experience integrating APIs and building reliable data pipelines for market, weather and operational data.
- Practical knowledge of statistical modelling, econometrics, time-series forecasting and scenario analysis.
- Experience modelling gas balances, weather-sensitive demand, power dispatch or regional pricing relationships.
- Ability to validate models and maintain documented, reproducible code using version control.
- Core competenciesStrong quantitative reasoning, analytical rigour and attention to detail.
- Commercial judgement and the ability to turn research into practical trading insights.
- Independent thinking and willingness to challenge assumptions.
- Clear communication of complex findings, uncertainty and risks.
- Effective prioritisation and accurate delivery under time pressure.
- Ownership of analytical work and collaboration with trading and technical teams.