2026 Quantitative Research Intern (Dubai Off Cycle)
at Millennium
Posted 17 days ago
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Six-month off-cycle quantitative research internship based in Dubai focused on machine learning for return prediction. Interns will work collaboratively with a quantitative team to develop feature libraries and implement novel ML algorithms. The role emphasizes hands-on data science work including data cleaning, feature engineering, and predictive modeling. Strong Python skills and knowledge of quantitative finance, statistics, and modern data science tools are required.
- Compensation
- Not specified
- City
- Dubai
- Country
- United Arab Emirates
Currency: Not specified
Full Job Description
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
