Downstream Demand Analyst (Metals) at Qube Research Technologies Limited

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

13 Sep, 26

Salary

0.0

Posted On

15 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Demand Modelling, Metals Research, Data Pipelines, Market Analysis, Scenario Analysis, Intensity Analysis, Commodity Research, Data Integration, Dashboard Development, Value Chain Analysis

Industry

Financial Services

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 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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Responsibilities

Develop and maintain data-driven end-use demand models for global metals markets to provide actionable insights for trading and investment. Build scalable data pipelines and dashboards to monitor high-frequency macro data and market inefficiencies.