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Quant Intern (H2 2026)

at Glencore

Back to all Python jobs
Glencore logo
Commodities

Quant Intern (H2 2026)

at Glencore

InternshipNo visa sponsorshipPython

Posted 5 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Singapore
Country
Singapore

The Quant Intern is responsible for building quantitative models, financial/statistical tools, and engineering data-driven applications that support trading workflows. This role requires strong mathematical, coding, and problem-solving abilities. The candidate will develop Python-based applications and automated data pipelines, perform quantitative research and backtesting on large datasets, and collaborate with analysts, traders and engineers. The position is an internship for H2 2026 based in Singapore.

Share

Quant Intern (H2 2026)

Share
Job highlights
  • Full time
  • Singapore, Singapore, Singapore
Job IDR200001470Closing dateNeverLast Updated09/02/2026
Apply

The Quant Intern is responsible for building quantitative models, financial/statistical tools, and engineering data-driven applications that support trading workflows. This role requires strong mathematical, coding, and problem-solving abilities.

KEY RESPONSIBILITES KEY RESPONSIBILITES

  • Develop financial, statistical, and machine-learning models.
  • Conduct quantitative research and backtesting on large datasets.
  • Build Python applications and automated data pipelines.
  • Optimise and refactor existing systems for performance and reliability.
  • Validate model assumptions and prepare documentation.
  • Integrate models into dashboards or internal tools.
  • Troubleshoot technical issues across data, modelling, and code.
  • Collaborate with analysts, traders and engineers on various tasks as needed.

KEY COMPETENCIES / SKILLS SET

  • Strong proficiency in Python and SQL.
  • Solid understanding of statistics, modelling, or machine learning.
  • Ability to independently deliver technical, end-to-end projects.
  • Strong analytical, communication, and documentation skills.

EDUCATION AND EXPERIENCE REQUIREMENT

  • Degree in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Computer Science, Data Science, Engineering, Economics (with strong econometrics), or other quantitative fields preferred

Who we are

Glencore is one of the world’s largest global diversified natural resource companies and a major producer and marketer of more than 60 commodities that advance everyday life. Through a network of assets, customers and suppliers that spans the globe, we produce, process, recycle, source, market and distribute the commodities that support decarbonisation while meeting the energy needs of today.

With over 150,000 employees and contractors and a strong footprint in over 35 countries in both established and emerging regions for natural resources, our marketing and industrial activities are supported by a global network of more than 50 offices.

Glencore’s customers are industrial consumers, such as those in the automotive, steel, power generation, battery manufacturing and oil sectors. We also provide financing, logistics and other services to producers and consumers of commodities.

Glencore is proud to be a member of the Voluntary Principles on Security and Human Rights and the International Council on Mining and Metals. We are an active participant in the Extractive Industries Transparency Initiative.

We will support the global effort to achieve the goals of the Paris Agreement through our efforts to decarbonise our own operational footprint. We believe that we should take a holistic approach and have considered our commitment through the lens of our global industrial emissions. Against a restated 2019 baseline, we are targeting to reduce our Scope 1, 2 and 3 industrial emissions by 15% by the end of 2026, 25% by the end of 2030, 50% by the end of 2035 and we have an ambition to achieve net zero industrial emissions by the end of 2050, subject to a supportive policy environment. For more information see our 2024-2026 Climate Action Transition Plan and the About our emissions calculation and reporting section in our 2023 Annual Report, available on our website at glencore.com/publications.

Note*: All applications will be subject to potential background checks. You will be informed if this will be the case. Further information about the processing of your personal data will be made available during the application process. We'll seek your explicit consent prior to processing the data.

Apply

Quant Intern (H2 2026)

at Glencore

Back to all Python jobs
Glencore logo
Commodities

Quant Intern (H2 2026)

at Glencore

InternshipNo visa sponsorshipPython

Posted 5 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Singapore
Country
Singapore

The Quant Intern is responsible for building quantitative models, financial/statistical tools, and engineering data-driven applications that support trading workflows. This role requires strong mathematical, coding, and problem-solving abilities. The candidate will develop Python-based applications and automated data pipelines, perform quantitative research and backtesting on large datasets, and collaborate with analysts, traders and engineers. The position is an internship for H2 2026 based in Singapore.

Share

Quant Intern (H2 2026)

Share
Job highlights
  • Full time
  • Singapore, Singapore, Singapore
Job IDR200001470Closing dateNeverLast Updated09/02/2026
Apply

The Quant Intern is responsible for building quantitative models, financial/statistical tools, and engineering data-driven applications that support trading workflows. This role requires strong mathematical, coding, and problem-solving abilities.

KEY RESPONSIBILITES KEY RESPONSIBILITES

  • Develop financial, statistical, and machine-learning models.
  • Conduct quantitative research and backtesting on large datasets.
  • Build Python applications and automated data pipelines.
  • Optimise and refactor existing systems for performance and reliability.
  • Validate model assumptions and prepare documentation.
  • Integrate models into dashboards or internal tools.
  • Troubleshoot technical issues across data, modelling, and code.
  • Collaborate with analysts, traders and engineers on various tasks as needed.

KEY COMPETENCIES / SKILLS SET

  • Strong proficiency in Python and SQL.
  • Solid understanding of statistics, modelling, or machine learning.
  • Ability to independently deliver technical, end-to-end projects.
  • Strong analytical, communication, and documentation skills.

EDUCATION AND EXPERIENCE REQUIREMENT

  • Degree in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Computer Science, Data Science, Engineering, Economics (with strong econometrics), or other quantitative fields preferred

Who we are

Glencore is one of the world’s largest global diversified natural resource companies and a major producer and marketer of more than 60 commodities that advance everyday life. Through a network of assets, customers and suppliers that spans the globe, we produce, process, recycle, source, market and distribute the commodities that support decarbonisation while meeting the energy needs of today.

With over 150,000 employees and contractors and a strong footprint in over 35 countries in both established and emerging regions for natural resources, our marketing and industrial activities are supported by a global network of more than 50 offices.

Glencore’s customers are industrial consumers, such as those in the automotive, steel, power generation, battery manufacturing and oil sectors. We also provide financing, logistics and other services to producers and consumers of commodities.

Glencore is proud to be a member of the Voluntary Principles on Security and Human Rights and the International Council on Mining and Metals. We are an active participant in the Extractive Industries Transparency Initiative.

We will support the global effort to achieve the goals of the Paris Agreement through our efforts to decarbonise our own operational footprint. We believe that we should take a holistic approach and have considered our commitment through the lens of our global industrial emissions. Against a restated 2019 baseline, we are targeting to reduce our Scope 1, 2 and 3 industrial emissions by 15% by the end of 2026, 25% by the end of 2030, 50% by the end of 2035 and we have an ambition to achieve net zero industrial emissions by the end of 2050, subject to a supportive policy environment. For more information see our 2024-2026 Climate Action Transition Plan and the About our emissions calculation and reporting section in our 2023 Annual Report, available on our website at glencore.com/publications.

Note*: All applications will be subject to potential background checks. You will be informed if this will be the case. Further information about the processing of your personal data will be made available during the application process. We'll seek your explicit consent prior to processing the data.

Apply