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International Steel Commodity Analyst

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Job ID 118361 Date posted 05/18/2021 Location : Singapore, Singapore

Job Purpose and Impact

The International Steel Commodity Analyst will be responsible for conducting highly complex trading analytics efforts. In this role, you will provide analysis of international steel markets and other economic considerations, development and deployment of highly complex models, tools and processes to influence the team to make strategic trading, risk management, margin enhancement and asset utilization decisions.

Key Accountabilities

  • Lead the development, enhancement and execution of highly complex models and processes to forecast and describe international steel price, supply and demand, relative value and global trends.
  • Provide timely, accurate and actionable insights to trading team and key customers to drive strategic decision making.
  • Lead the IFT insight engine through systematically connecting the different analytical components of the Steel business in a clean and concise way.
  • Coach peers on the connections between the analysts and trading team, demonstrating the connection between market and benchmark analytics and the value added to the trading teams.
  • Develop, coordinate and support initiatives for technology and data for trading data analytics in conjunction with stakeholders.
  • Provide thought leadership for new data, technology, tools and innovation and establish processes to efficiently gather relevant data.
  • Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
  • Other duties as assigned



  • Bachelor’s degree in a related field or equivalent experience
  • Knowledge of trading business, risk management and an understanding of what information adds value
  • Ability to influence global teams to build consensus around trading strategy
  • Ability to quickly take disparate information and derive actionable insights
  • Demonstrated ability to solve complex problems and execute under tight timelines
  • Experience with commodity supply and demand fundamentals and economics
  • Minimum of four years of related work experience
  • Other minimum qualifications may apply


  • Master's degree
  • Experience with complex modelling, coding, data science and big data management


  • Experience developing, enhancing, executing tools, models, processes to forecast, describe price, supply and demand, relative value, and global trends.
  • Experience collaborating and supporting other analysts and team members to deliver analyses that maximizes business competitive advantage.
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