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Macquarie Group invites penultimate-year undergraduates and master's students to apply for the 2027 Commodities and Global Markets Summer Internship Programme. The programme targets candidates from quantitative disciplines and values strong numerical skills, collaboration, and clear communication with both technical and non-technical stakeholders.
Some roles may benefit from Python experience and familiarity with data analysis or automation.
You have a unique perspective. We want to hear it. We welcome applications from students in their penultimate year of study of an undergraduate or master's degree, or students undertaking a final year undergraduate degree and planning to continue to a master's degree, graduating in January to July 2028.
You are studying a discipline such as mathematics, physics, computer science, engineering, economics,financeor another quantitative field of study.
Youapproach problems inastructured and creative way, havestrong numericalskillsand cancommunicate complex or technical informationclearly.
You like to collaborate with others,are comfortableworkingwith both technical and non-technicalstakeholders, andcan adapt as priorities change.
You have an interest in financial services and bring a proactive,resourcefuland positive attitude, as well as a strong work ethic.
You arecurious andeager to learn,including developing your understanding of complex products,systemsor regulations, andcontribute toreal businessoutcomes.
You havestrong attention to detailand are comfortable workingwithdata and using relevant analytical tools.
For some of our quantitative opportunities, experience using Python will be important, while familiarity with AI tools, data analysis or automation may also beadvantageous, depending on the team.
You have a unique perspective. We want to hear it. We welcome applications from students in their penultimate year of study of an undergraduate or master's degree, or students undertaking a final year undergraduate degree and planning to continue to a master's degree, graduating in January to July 2028.
You are studying a discipline such as mathematics, physics, computer science, engineering, economics,financeor another quantitative field of study.
Youapproach problems inastructured and creative way, havestrong numericalskillsand cancommunicate complex or technical informationclearly.
You like to collaborate with others,are comfortableworkingwith both technical and non-technicalstakeholders, andcan adapt as priorities change.
You have an interest in financial services and bring a proactive,resourcefuland positive attitude, as well as a strong work ethic.
You arecurious andeager to learn,including developing your understanding of complex products,systemsor regulations, andcontribute toreal businessoutcomes.
You havestrong attention to detailand are comfortable workingwithdata and using relevant analytical tools.
For some of our quantitative opportunities, experience using Python will be important, while familiarity with AI tools, data analysis or automation may also beadvantageous, depending on the team.
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