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