Quantitative Analyst Sr.

Description

• Take the lead in developing advanced forecasting models for electric load, uncovering actionable insights from complex datasets, and creating scalable, production-ready tools for critical business decisions
• Utilize advanced statistical and predictive modeling techniques Machine Learning, Bayesian Statistics) to develop and refine decision-support systems
• Operate as a team member with all ENGIE North America NA staff employees
• Collaborate with teams across Pricing, Portfolio Management, and Digital, engaging leadership to deliver impactful data-driven strategies
• Partner with Power Portfolio Management, Pricing & Structuring, and the Costing t eam to analyze historical market trends, forward pricing, and market f undamentals, offering key insights into financial forecast variances
• Introduce the latest data science trends, train others, and propose innovative solution s for end-users to tackle challenges like load analysis, risk analytics, and pricing optimization
• Res earch complex business problems such as load reconciliation, portfolio stress tests, or budget tracking, designing actionable, analytics-driven solutions
• Develop effective, sca lable code Python, Docker, SQL to optimize forecasting models and business tools
• Collaborate with third-party vendors, developers, and consultants to enhance business processes A lign with ENGIE North America policies and procedures as a trusted team member
• Execute daily “Pre-Deal” operations, providing accurate and timely forecast support, and ensuring the reliability of forecasting platforms
• Create and maintain robust Cloud data pipelines Azure Data Factory, AWS to ensure seamless data processing practices in Git repository management and requirements gathering, translating functional needs into technical Champion best solutions
• Join a collaborative environ ment at the intersection of energy and advanced analytics, driving innovation and meaningful change

Requirements

• You are knowledgeable in advanced statistical and predictive modeling, including machine learning, Bayesian statistics, decision trees, clustering, and bias detection techniques
• You have strong programming expertise, proficient in multiple languages including Python, R, and SQL, and skilled in developing REST APIs and optimizing workflows
• Must be willing and able to comply with all ENGIE ethics and safety policies
• You are a self-starter who thrives in flexible, independent work environments and can manage complex technical tasks without close supervision
• You have a strong understanding of power markets, including commodity trading, pricing and structuring, portfolio and risk management, and power generation fundamentals
• You have a minimum of five (5) years of professional experience, including at least two (2) years in analytical or technical roles
• You are familiar with cloud infrastructure and DevOps environments, with experience using platforms such as MS Azure, AWS, and tools like GitHub and Azure DevOps
• You have hands-on experience with data engineering and ETL processes, as well as data visualization tools like Microsoft Power BI (DAX) and Microsoft Visio
• You hold a Bachelor’s degree in a quantitative discipline such as Economics, Mathematics, Statistics, Computer Science, Physics, or a related STEM field. In lieu of a degree, we will accept a combination of seven (7) years of relevant professional experience where you have demonstrated applied knowledge in data analysis, statistical modeling, technical problem-solving, and the use of analytical tools to support business decision-making or operational improvements

Benefits

• This role is eligible for our hybrid work policy working three (3) days in-office and two (2) days remote

Training + Development

Interview process

Visa Sponsorship

Security clearance