Note: The job is a remote job and is open to candidates in USA. X4 Engineering is working with a highly profitable energy trading business. The FTR Analyst will support a power trading team by modeling electricity markets and transmission systems, analyzing congestion, and identifying trading opportunities. The role also involves developing Python-based tools, analyzing large datasets, and communicating market insights and risks.
Responsibilities
- Analyse electricity market supply, demand and transmission congestion fundamentals
- Research and model PJM power markets, with potential exposure to MISO and other major ISOs
- Build, maintain and calibrate power-flow and optimisation models
- Analyse the impact of new generation, load and transmission projects on grid flows and market prices
- Use Optimal Power Flow (OPF) techniques to identify congestion and trading opportunities
- Calculate and analyse PTDFs, LODFs and ATCs
- Support FTR and congestion trading analysis and forward valuation
- Work with production cost models and contribute to maintaining underlying grid models
- Develop Python-based tools for automated analysis, reporting, visualisation and dashboards
- Mine and analyse large datasets to identify market opportunities
- Communicate market insights, risks and opportunities clearly to the wider trading team
Skills
- • Bachelor's degree or higher in Electrical Engineering, Power Systems, Mathematics, Economics or another quantitative discipline
- • 2+ years of relevant electricity-market, power-systems, consulting, ISO or trading experience
- • Strong understanding of power markets and transmission networks
- • Hands-on experience with Optimal Power Flow and grid/network modelling
- • Experience with tools such as PSS/E, TARA, PowerWorld, PROMOD, PLEXOS, Dayzer, GE MAPS, UPLAN or similar
- • Strong Python programming and quantitative modelling skills
- • Understanding of PTDF, LODF and ATC
- • Ability to work with incomplete information, form hypotheses and make commercially relevant judgements
- • Strong communication, ownership and teamwork skills
- • Experience within PJM or MISO
- • Production Cost Modelling experience
- • Experience maintaining and modifying grid models, rather than simply running existing models
- • A Master's or PhD in Power Systems, Electrical Engineering, Mathematics, Economics or a related quantitative field
- • Experience with optimisation, statistics, econometrics or machine learning applied to power markets
- • Experience with SQL, databases or energy-market data platforms
- • Exposure to natural gas markets
- • Experience with software development practices such as Git, testing and code review
Benefits
- A significant performance-driven bonus opportunity.
Company Overview