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Salary
≈ $31k – $71k per year (Estimated)
Location
In office (Shanghai)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Jun 15, 2026. Qube Research & Technologies scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Qube Research & Technologies is a quantitative hedge fund and investment manager that runs systematic trading strategies across global markets. It applies statistical research, machine learning and high-performance technology to trade equities, futures, options, credit and other liquid asset classes. The firm was founded in 2018 by a team from Credit Suisse's quantitative trading business led by Pierre-Emmanuel Juillard and is headquartered in London.

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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