Quantitative Analyst, Risk Analytics
Job
nrg
Remote
$95,500 Salary, Full-Time
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Job Description
As an NRG employee, we encourage you to take charge of your career and development journey. We invite you to explore exciting opportunities across our businesses. You'll find that our dynamic work environment provides variety and challenge. Your growth is key to our ongoing success—take the lead in shaping your career development, goals and future! Position Summary
The Quantitative Analyst in the Wholesale Risk Analytics team will support NRG's risk generation forecasting, and analytical processes across the wholesale portfolio. This role is highly analytical and business focused, with responsibility for developing, maintaining, and enhancing models that support accurate forecasting and insights. The position offers significant visibility across the organization and requires close collaboration with Commercial Operations, Financial Planning, Asset Management, and Senior Leadership.
Essential Responsibilities
- Operate and enhance NRG's wholesale gross margin forecasting models, including annual budget forecasts and monthly reforecasts.
- Maintain and improve daily mid‑ to long‑term forecasting models used for commercial operations position reporting.
- Apply data-driven techniques and pattern-recognition methods to improve forecast accuracy, identify anomalies, and streamline analytical workflows.
- Build and automate data pipelines, reporting tools, and model processes using Python, SQL, and Excel/VBA.
- Support ad‑hoc analytical requests from Senior Management, Finance, Market Operations, Plant Operations, and Asset Management.
- Partner with IT to implement model improvements, enhance data quality, and modernize analytical infrastructure.
- Contribute to valuation analysis, scenario modeling, and risk analytics supporting commercial decision‑making.
- Prepare clear, concise presentations and analysis for leadership discussions, investment reviews, and risk reporting. Required Skills & Experience
- Bachelor's degree in economics, Finance, Engineering, Computer Science, Mathematics, Statistics, Operations Research, or a related field.
- Strong proficiency in Microsoft Excel, including advanced formulas, VBA, and data manipulation.
- Hands‑on experience with Python and SQL for data analysis, automation, and model development.
- Solid understanding of statistical modeling, forecasting techniques, and quantitative analysis.
- Strong written and verbal communication skills.
- High attention to detail and commitment to producing accurate, high‑quality work.
- Self‑starter with the ability to manage multiple priorities in a fast‑paced environment. Preferred Qualifications
- Three or more years of experience in the U.S. power markets, merchant generation, or energy trading environments.
- Familiarity with power market simulation or production cost modeling tools such as PROSYM, PROMOD, GenTrader, or Aurora.
- Experience with long‑term asset modeling, dispatch modeling, or valuation of generation assets.
- Exposure to machine‑learning methods and AI‑assisted analytical tools.
- Experience working with large datasets or cloud‑based analytics environments.
- Prior experience in energy market consulting or risk analytics roles. Working Conditions
- Hybrid work schedule with 4 days per week in the Princeton office.
- Open office environment with frequent cross‑functional interaction.
- Occasional overtime may be required to meet deadlines or support special projects.
- Fast‑paced environment requiring adaptability and strong problem‑solving skills.
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