Quantitative Analyst SR; Power Markets Forecasting & Pricing

Quantitative Analyst SR (Power Markets Forecasting & Pricing)

Job Description Quantitative Analyst SR (Power Markets Forecasting & Pricing) Posting

Start Date:

6/25/26 Requisition

HOUSTON, United States, 77056
ENGIE North America Inc. Trading / Portfolio Management Permanent Full - Time

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.

• 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 product ionize 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

• 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

• This role is eligible for our hybrid in-office work policy and is not eligible for remote work
• Must be available to travel up to 10% domestically / internationally and with the need for some overnight trips
• Must be willing and able to comply with all ENGIE ethics and safety policies

Salary Range: $88,800 – $136,045 USD annually

This represents the average expected pay range for a qualified candidate.

ENGIE complies with all federal, state, and local minimum wage laws. Actual salary offered may vary depending on geography, experience, education, internal pay alignment, or other bona fide factors.

In addition to base pay, this position is eligible for a competitive bonus / incentive plan.

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