About the Client: Our client is one of the world's premier private investment and quantitative trading institutions. Renowned for its industry-leading technology, scientific approach to trading, and flat organizational structure, this firm managing tens of billions in assets provides an unparalleled launchpad for exceptional technical minds. They foster a culture of meritocracy, intellectual rigor, and rapid execution, completely free of bureaucratic red tape. The Role & Landscape We are seeking a highly motivated, cross-functional Quantitative Developer / Researcher to join a premier, fast-paced Commodities trading desk. In this role, you will not be siloed; instead, you will have a 360-degree view of the entire trading lifecycle. You will work directly alongside portfolio managers and traders to build the next generation of quantitative tools and alpha-generating models. End-to-End Ownership: Design, develop, and optimize high-performance Python-based trading tools, pricing engines, and real-time execution algorithms. AI & ML Integration: Research and implement modern machine learning/AI workflows to extract predictive insights from complex, unstructured global energy market data. Data Pipeline Engineering: Build robust, scalable data pipelines to ingest and clean alternative datasets crucial for daily trading decisions. High-Octane Environment: Experience the direct impact of your code on the desk’s PnL within a high-intensity, intellectually stimulating environment. What We Are Looking For Experience: 3 to 5 years of experience as a Quant Developer, Quant Researcher, or hands-on Quantitative Engineer within a boutique hedge fund, proprietary trading firm, or agile commodity desk. Technical Master: Advanced engineering capabilities in either Python or other programming languages (Java/ C++/ C#/ Rust/ Golang, etc.), with deep familiarity of the scientific computing stack and software engineering best practices. Quantitative/AI Rigor: Strong mathematical, statistic