2026 Quantitative Research Intern (Dubai Off Cycle)

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