Portfolio Analyst — US Gas and Power Markets

Role Overview

Provide fundamental research and quantitative analysis to support a commodity trading desk specialising in energy commodities. This position combines physical market expertise, coding, and commercial judgement to inform trading and portfolio decisions.

Key Responsibilities

• Analyse 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 to determine 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 Experience

• Bachelor’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 Skills

• Strong 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 Competencies

• Strong 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.