Downstream Demand Analyst (Metals)

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).