About The Position

At ENGIE, we are accelerating the energy transition by combining deep analytical expertise with bold commercial strategy. As a Senior Quantitative Analyst, you’ll play a critical role in how ENGIE forecasts, prices, and manages its retail power portfolio. This role sits at the intersection of quantitative modeling and real-time business decision-making, where your work directly impacts daily pricing, risk management, and portfolio performance. You’ll partner closely with portfolio management, risk, and commercial teams to enhance forecasting models, troubleshoot production issues, and improve the reliability of analytics used across the business. This is a hands-on role where you’ll move between model development, production support, and translating insights into clear, actionable outputs. You’ll also contribute to the team’s transition toward more scalable, global modeling platforms helping modernize how analytics are built, deployed, and used across ENGIE.

Requirements

  • Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Engineering, Computer Science, or similar) and five (5) years of relevant experience in analytics, modeling, or quantitative roles
  • Strong experience with Excel and Python-based modeling, with the ability to build, debug, and improve production-level analytical models
  • Demonstrated experience working with forecasting, pricing, risk, or portfolio analytics in a business or operational environment
  • Ability to own work in production environments, including troubleshooting issues, validating outputs, and ensuring data integrity under time-sensitive conditions
  • Experience working with structured data and large datasets (e.g., SQL or similar tools) and supporting end-to-end analytical workflows
  • Understand financial or commercial concepts (e.g., margin, forecasting, budgeting, performance tracking) and how analytics support business decisions
  • Strong communication skills with the ability to translate technical outputs into clear, structured insights for non-technical stakeholders

Responsibilities

  • Build, maintain, and enhance quantitative models that support pre-trade forecasting, pricing, and portfolio management across power markets (e.g., ERCOT, PJM, NYISO)
  • Partner with senior analysts to productionize forecasting models, turning prototypes into reliable, scalable solutions used in daily operations
  • Own and improve analytical workflows tied to pricing and portfolio performance, ensuring accuracy and reliability under tight business timelines
  • Develop and monitor KPIs and risk metrics, ensuring forecasts and outputs align with business and commercial expectations
  • Support and maintain tools such as budget tracking and margin forecasting, comparing performance against plan and identifying drivers of variance
  • Investigate and resolve production issues (e.g., data discrepancies, model drift, reconciliation gaps), ensuring stability and continuous improvement
  • Collaborate across teams to translate complex analytical outputs into clear, business-ready insights, improving reporting, visualization, and decision-making

Benefits

  • medical
  • dental
  • vision
  • life insurance
  • employer-paid short-term and long-term disability insurance
  • ESPP
  • generous paid time off including wellness days, holidays and leave programs
  • 401(k) Retirement Savings Plan with a company match
  • supplemental benefits for full time employees that enhance emotional and physical well-being through all stages of life from family forming to caregiver benefits
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