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    QU

    Qube Research & Technologies

    Hedge Fund

    Downstream Demand Analyst (Metals)

    Shanghai, ChinaOn-SiteFull-time5+ yrs experiencePosted 3mo ago
    All Qube Research & Technologies jobs

    Job description

    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

    1. 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.
    1. 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.
    1. 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).

    Job details are sourced from the employer's original posting.

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    About the company

    Qube Research & Technologies

    Qube Research & Technologies is a global quantitative and systematic investment manager.

    View all Qube Research & Technologies jobs
    Industry
    Hedge Fund
    Open roles
    193

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