Hiring: Senior Northeast Power Trading Analyst Company: ExxonMobil Location: Spring, TX Job Posted Time: 2026-09-14 14:52:20 Target Skills & Keywords : MATLAB, Python, R, Spring About the job Required Skills: •Provide market expertise, fundamental analysis, statistical modelling and opportunity & risk identification to support power trading, structuring, and origination activities focused on the Northeast U.S. power markets. •Help us capture additional value by advising on trading strategies, the optimization of power positions, and the identification and structuring of new opportunities. •Leveraging detailed market understanding to recommend profitable trading, optimization, and business development strategies •Researching, analyzing and interpreting fundamental drivers across the Northeast U.S. power markets, and translating these into market views and forward price outlooks to drive trading strategies •Leading the development & improvement of analytical tools •Development and/or enhancement of existing analytical tools to improve insights from market fundamentals •Remaining knowledgeable about leading-edge developments, analytical techniques, technologies and tools in advanced analytics •Valuation and cash flow modelling of both potential projects and structured deals, to support investment cases and commercial decision-making Qualifications: •Bachelor’s Degree (or equivalent) in a numeric discipline e.g. Engineering, Science, Economics, Finance, Mathematics or Statistics (or hold other relevant industry experience) •Have previous experience in the North American wholesale power industry or related consultancy experience •Be experienced in developing power price forecasts using stack modelling tools, within a trading or consultancy environment to inform trading strategies •Have experience in U.S. power fundamentals analysis & advanced analytical methods •Demonstrable analytical/innovative thinking expertise, intellectual rigor, drive, and desire to lead change •Established knowledge of data modelling and proficiency with R, Python or Matlab would be beneficial but not essential •Ideally the successful candidate would be familiar with the modelling of physical power assets, regional transmission constraints, capacity markets, and an in depth knowledge of at least one major Northeast U.S. ISO (PJM, ISO NE, or NYISO), with a keen interest to learn about broader North American power markets. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!