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2026 Quantitative Research Intern (Dubai Off Cycle)

at Millennium

Back to all Data Science / AI / ML jobs
Millennium logo
Hedge Funds

2026 Quantitative Research Intern (Dubai Off Cycle)

at Millennium

InternshipNo visa sponsorshipData Science/AI/ML

Posted 4 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Dubai
Country
United Arab Emirates

Six-month off-cycle quantitative research internship based in Dubai focusing on machine learning for return prediction. The role involves developing feature libraries, implementing novel ML algorithms, and working collaboratively with a team of quantitative researchers. Strong Python and modern data-science tooling skills alongside a STEM degree and quantitative finance knowledge are preferred.

2026 Quantitative Research Intern (Dubai Off Cycle)

Off Cycle Quantitative Researcher Intern

Minimum 6 month, working in a collaborative team, with a focus on machine learnings.

Principal Responsibilities

Work alongside the team members with strong machine learning background to:

  • Develop additional feature libraries

  • Implement novel machine learning algorithms for return predictions

Preferred Technical Skills

  • Expert in Python

  • Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn)

  • Degree in Mathematics, Computer Science, Statistics, or related STEM field from top ranked University

  • Demonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theory

  • Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts

Preferred Experience

  • Hands-on experience on predictive data-science project

  • Experience working with multiple data sets and manipulating data (assessing, cleaning, creating features, etc.)

Highly Valued Relevant Experience

  • Extremely rigorous, critical thinker, self-motivated, detail-oriented, and able to work independently in a fast-paced environment

  • Entrepreneurial mindset

  • Curiosity and critical thinker

  • Eagerness to learn and grow professionally

  • Highly organized, eager to improve and create tools in order to increase efficiency and to scale up the research effort

2026 Quantitative Research Intern (Dubai Off Cycle)

at Millennium

Back to all Data Science / AI / ML jobs
Millennium logo
Hedge Funds

2026 Quantitative Research Intern (Dubai Off Cycle)

at Millennium

InternshipNo visa sponsorshipData Science/AI/ML

Posted 4 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Dubai
Country
United Arab Emirates

Six-month off-cycle quantitative research internship based in Dubai focusing on machine learning for return prediction. The role involves developing feature libraries, implementing novel ML algorithms, and working collaboratively with a team of quantitative researchers. Strong Python and modern data-science tooling skills alongside a STEM degree and quantitative finance knowledge are preferred.

2026 Quantitative Research Intern (Dubai Off Cycle)

Off Cycle Quantitative Researcher Intern

Minimum 6 month, working in a collaborative team, with a focus on machine learnings.

Principal Responsibilities

Work alongside the team members with strong machine learning background to:

  • Develop additional feature libraries

  • Implement novel machine learning algorithms for return predictions

Preferred Technical Skills

  • Expert in Python

  • Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn)

  • Degree in Mathematics, Computer Science, Statistics, or related STEM field from top ranked University

  • Demonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theory

  • Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts

Preferred Experience

  • Hands-on experience on predictive data-science project

  • Experience working with multiple data sets and manipulating data (assessing, cleaning, creating features, etc.)

Highly Valued Relevant Experience

  • Extremely rigorous, critical thinker, self-motivated, detail-oriented, and able to work independently in a fast-paced environment

  • Entrepreneurial mindset

  • Curiosity and critical thinker

  • Eagerness to learn and grow professionally

  • Highly organized, eager to improve and create tools in order to increase efficiency and to scale up the research effort

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