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Downstream Demand Analyst (Metals)

Qube Research & Technologies·Shanghai·via Greenhouse

Posted by Qube Research & Technologies on 15 June 2026, 117 days ago. Still on their Greenhouse board when we checked 21 min ago.

Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationShanghai
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-06-15
Found viagreenhouse, direct from their system

We saw it 4 months after it went up.

The posting, as the company wrote it
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).

Copied from Qube Research & Technologies’s own board, not rewritten. Original ↗

Also open at Qube Research & Technologies

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