Quantitative Analyst

Overview

Develop and maintain quantitative natural gas models & analytics for trading.

Key Responsibilities

• model validation
• documentation
• data management
• quant modeling
• tool development

Tasks

-Back-test, validate, and refine models to ensure reliability and performance before live deployment. -Document models and processes to ensure transparency and reproducibility. -Manage and quality-check large datasets feeding into trading models. -Build and maintain quantitative models for North American natural gas fundamentals (supply, demand, storage, and flows). -Develop tools and analytics to support and optimize algorithmic trading strategies in collaboration with traders and developers.

Requirements

• python
• master's
• detail‑oriented
• quant modeling
• statistical analysis
• 5‑10 years

What You Bring

-Proficiency in Python for data analysis and model development. -Master’s degree in finance, economics, applied mathematics, physics, or another quantitative discipline. -Curious, detail-oriented, and eager to work in a fast-paced trading environment. -5-10+ years of professional experience in quantitative modeling, statistical analysis, or econometrics. (can consider slightly more junior candidates with relevant educational experience).

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About Piper Maddox

-Founded in 2015 and headquartered in London, Piper Maddox has grown into a global clean-energy recruitment specialist. -Born to serve the renewable transition, it places professionals in solar, wind, storage, hydrogen, and e-mobility projects. -Their footprint spans major clean-tech hubs: UK, Benelux, Nordics, DACH, North America, and now expanding in Miami. -They maintain niche divisions—solar, storage, hydrogen—each led by dedicated specialists, delivering deep domain hiring.

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