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Quantitative Research Intern Off Cycle
Job Description & How to Apply Below
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- Develop additional feature libraries
- Implement novel machine learning algorithms for return predictions
- 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
- Hands-on experience on predictive data-science project
- Experience working with multiple data sets and manipulating data (assessing, cleaning, creating features, etc.)
- 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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