Job Description
Full details about the role and requirements
Yukerja Summary
The Off-cycle Intern - Algorithmic Quantitative Strategy role at Macquarie Group is curated from JobStreet (category Magang & Fresh Graduate). Note the work location (Pegasing, Aceh) before applying. Yukerja.com is not the employer — applications are handled on the official source site.
Additional office locations
Hong Kong
Job ID
22742
Date
15-Jun-2026
Fixed term, Entry level, Junior
Job category
Equities, Quantitative Analysis
- A current PhD and/or a Masters’ student in a computer science, financial engineering, mathematics or similar quantitative discipline with the ability to commit to a 6-month internship ideally starting in September 2026
- In-depth understanding of statistical models with demonstrated experience in dealing with large datasets (practical experience on machine learning/deep leaning will be an advantage)
- Strong programming skills with hands-on experience of Python and SQL (knowledge of q/KDB or C# will be an advantage)
- Understanding of market microstructure and trading mechanisms in Asia Pacific as well as familiarity with data visualisation tools
- Intellectual curiosity, a passion for financial markets and exceptional interpersonal skills with fluency in English and the ability to communicate technical ideas succinctly with a commercial mindset.
- A current PhD and/or a Masters’ student in a computer science, financial engineering, mathematics or similar quantitative discipline with the ability to commit to a 6-month internship ideally starting in September 2026
- In-depth understanding of statistical models with demonstrated experience in dealing with large datasets (practical experience on machine learning/deep leaning will be an advantage)
- Strong programming skills with hands-on experience of Python and SQL (knowledge of q/KDB or C# will be an advantage)
- Understanding of market microstructure and trading mechanisms in Asia Pacific as well as familiarity with data visualisation tools
- Intellectual curiosity, a passion for financial markets and exceptional interpersonal skills with fluency in English and the ability to communicate technical ideas succinctly with a commercial mindset.