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quantitative investment management · systematic trading strategies

Downstream Demand Analyst (Metals)

Shanghai · OnsitePosted 3 months ago
Data Science And StatisticsMid-level
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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).

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