RAJ
Verified from Qube Research & Technologies's careers page · Greenhouse

Downstream Demand Analyst (Metals)

Qube Research & TechnologiesShanghai5+ YearsPosted Jun 14, 2026

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About this role

Role Summary Build and maintain data-driven end-use demand models across global metals markets, translating sector-level insights into actionable views for trading and investment. Core Responsibilities • Demand Modelling • Develop bottom-up end-use demand models (starting with China, then globally and covering major regional markets) across key sectors (e.g. real estate, transportation, power generation and distribution, infrastructure, data centres / AI, appliances). • Conduct intensity analysis and forward demand projections, adjusting for cyclical effects (e.g. demand destruction vs deferral). • Track inventories across the value chain using semi-finished and end-use data. • Analyse capacity across end-use sectors to consume scrap vs refined metals. • Data Integration & Monitoring • Build scalable data pipelines integrating national statistics, industry data, company disclosures, and alternative data (e.g. shipping, customs, satellite). • Generate model outputs programmatically, incorporating real-time and high-frequency macro data. • Develop dashboards to present key high-frequency indicators in a clear, actionable format. • Market Analysis & Insights • Identify market inefficiencies and relative value opportunities across commodities and regions. • Perform scenario analysis incorporating macro, policy, and geopolitical factors. • Support trading and portfolio positioning with timely , data-driven insights. Key Requirements Experience & Knowledge • 5+ years’ experience in metals/commodity research, with strong focus on first-use and end-use demand. • Deep understanding of downstream sectors and global metals value chains. • Familiarity with scrap markets, trade flows, and industry dynamics. Technical Skills • Advanced Python programming (model development, data pipelines). • Strong SQL proficiency . • Experience working with large, multi-source datasets and real-time data systems. Other Skills • Strong analytical and problem-solving capabilities. • Ability to operate in a fast-paced, collaborative environment. • Excellent communication skills (written and verbal, English).

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