2026 Quantitative Research Intern (Dubai Off Cycle)
at Millennium
Posted 20 hours ago
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- Compensation
- Not specified
- City
- Dubai
- Country
- United Arab Emirates
Currency: Not specified
Off-cycle Quantitative Research Intern role based in Dubai for a minimum six-month placement, working within a collaborative quant research team focused on machine learning. The intern will help develop feature libraries and implement novel machine learning algorithms for return prediction and predictive research. Strong Python and modern data-science tooling experience, a quantitative STEM background, and hands-on predictive data-science/project experience are preferred.
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
