Job Title: Portfolio Analyst
The Portfolio Analyst role provides fundamental research and quantitative analysis to support a commodity trading desk specializing in energy commodities. This position combines physical market expertise, coding skills, and commercial judgment to inform trading and portfolio decisions.
Key Responsibilities
- Analyze and forecast US natural gas supply, demand, storage, pipeline flows, and LNG feedgas demand.
- Examine 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, analyzing their implications for market balances and portfolio risks.
- Develop Python and SQL models to automate analysis, forecasting, and reporting tasks.
- Communicate findings to traders and portfolio managers through comprehensive 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 organized wholesale power markets.
- Demonstrated experience applying physical market knowledge to forecasting, commercial analysis, and trading decisions.
Technical Skills
- Strong Python coding skills, including proficiency in pandas and NumPy for data analysis, modeling, 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 modeling, econometrics, time-series forecasting, and scenario analysis.
- Experience modeling 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 rigor, and attention to detail.
- Commercial judgment with the ability to turn research into practical trading insights.
- Independent thinking with a willingness to challenge assumptions.
- Clear communication of complex findings, uncertainty, and risks.
- Effective prioritization and accurate delivery under time pressure.
- Ownership of analytical work and collaboration with trading and technical teams.
Apply online using the form below. Please note that only applications matching the job profile will be considered.
Work locationGeneva, Switzerland