Piper Maddox
Environmental Products Quantitative Analyst
Piper Maddox, San Francisco, California, United States, 94199
Overview
Piper Maddox is working with one of Europe's largest generators of renewable energy that has an established presence in United States commodity markets. They are looking to add an Environmental Products Quantitative Analyst to their team in San Francisco! Experience in energy related field is not required. Responsibilities
Design and implement analytical tools to monitor environmental product portfolios, enabling real-time insights into positions, pricing, and performance metrics Work with Portfolio Managers and Origination team to build scalable, user friendly solutions to support trade decision Build data pipelines for real-time risk analytics and PnL tracking Contribute to the evolution of internal platforms by identifying opportunities for automation, performance optimization, and enhanced trader experience Qualifications
3+ years of experience in quantitative focused role Bachelor or Masters degree in computer science, statistics, math, engineering, or quantitative field Proficiency in coding, Python preferred Experience building tools from the ground up, from database design to front-end development Experience in collaborative environment Ability to manage multiple tasks and thrive in a fast-paced team environment Seniority level
Associate Employment type
Full-time Job function
Analyst, Product Management, and Strategy/Planning
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Piper Maddox is working with one of Europe's largest generators of renewable energy that has an established presence in United States commodity markets. They are looking to add an Environmental Products Quantitative Analyst to their team in San Francisco! Experience in energy related field is not required. Responsibilities
Design and implement analytical tools to monitor environmental product portfolios, enabling real-time insights into positions, pricing, and performance metrics Work with Portfolio Managers and Origination team to build scalable, user friendly solutions to support trade decision Build data pipelines for real-time risk analytics and PnL tracking Contribute to the evolution of internal platforms by identifying opportunities for automation, performance optimization, and enhanced trader experience Qualifications
3+ years of experience in quantitative focused role Bachelor or Masters degree in computer science, statistics, math, engineering, or quantitative field Proficiency in coding, Python preferred Experience building tools from the ground up, from database design to front-end development Experience in collaborative environment Ability to manage multiple tasks and thrive in a fast-paced team environment Seniority level
Associate Employment type
Full-time Job function
Analyst, Product Management, and Strategy/Planning
#J-18808-Ljbffr