Downstream Demand Analyst (Metals)
LocationShanghai
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentMF-Commo
Company size501–1,000 people
PostedJun 15, 2026 · 4mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
Advanced Python programming (model development, data pipelines)
Strong SQL proficiency
Experience working with large, multi-source datasets and real-time data systems
Strong analytical and problem-solving capabilities
Ability to operate in a fast-paced, collaborative environment
Excellent communication skills (written and verbal, English)
Skills
Python
SQL
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.
Requirements
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).