Jobs Companies Qube Research & Technologies Downstream Demand Analyst (Metals)

Sobre esta vaga de Downstream Demand Analyst (Metals) na Qube Research & Technologies

Qube Research & Technologies · Presencial · Shanghai

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). 
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