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About the Role
Levmet is a commodities trading company with eight global offices, specialising in physical and financial trading across energy, metals, and carbon allowances. We are hiring an analyst to join the desk covering European power, carbon, and global natural gas.
This role is primarily focused on European power — fundamentals, forecasting, and analytics — with a secondary responsibility for gas analytics and for developing the desk’s systematic trading capability. Ideal candidates will have 2-3 years in a market-facing analytical role and want direct exposure to live trading rather than a pure research function.
Responsibilities
Power
- Analyse the key drivers of price formation: demand, renewable and thermal dispatch, transmission constraints, and regulatory dynamics.
- Build and maintain fundamental models for European power (demand, renewables output, thermal stack economics, cross-border flows) and combine model outputs with market data to identify trading opportunities and inefficiencies.
- Track plant availability, outages, and REMIT/UMM disclosures; assess price impact across day-ahead, intraday, and forward curves.
- Produce daily and weekly desk analytics, including scenario and sensitivity analysis under varying weather and supply conditions.
- Monitor regulatory and market-design developments that may influence prices.
- Work closely with traders and the gas and emissions teams.
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Gas and Quantitative Support
- Monitor European hub flows and nominations versus actuals and contribute to consumption and demand models.
- Support storage and pipeline optimisation models, including valuation and injection/withdrawal profiles.
- Contribute to back-testing and signal research across power, gas, and carbon as the desk builds out its systematic trading capability.
Requirements
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- Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field.
- Approximately two years’ experience in energy or commodities analytics, quantitative research, or a comparable data-intensive role.
- Working knowledge of European power market structure and fundamental drivers. Familiarity with gas markets is an advantage.
- Experience with power stack modelling — whether using vendor tools (EPSI, Plexos, BID3) or in-house frameworks — to build, interpret, and challenge price forecasts.
- Strong Python skills (essential): pandas, numpy, statistical libraries, API development, and dashboarding (Dash, Streamlit, or similar). SQL proficiency is expected.
- Practical experience with time-series analysis, regression, and back-testing methodology. Exposure to machine learning is welcome but is not a substitute for statistical rigour.
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