2026 Quantitative Research Intern (Dubai Off Cycle)

Off Cycle Quantitative Researcher InternMinimum 6 month, working in a collaborative team, with a focus on machine learnings.Principal ResponsibilitiesWork alongside the team members with strong machine learning background to:Develop additional feature librariesImplement novel machine learning algorithms for return predictionsPreferred Technical SkillsExpert in PythonProficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn)Degree in Mathematics, Computer Science, Statistics, or related STEM field from top ranked UniversityDemonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theoryExcellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex conceptsPreferred ExperienceHands-on experience on predictive data-science projectExperience working with multiple data sets and manipulating data (assessing, cleaning, creating features, etc.)Highly Valued Relevant ExperienceExtremely rigorous, critical thinker, self-motivated, detail-oriented, and able to work independently in a fast-paced environmentEntrepreneurial mindsetCuriosity and critical thinkerEagerness to learn and grow professionallyHighly organized, eager to improve and create tools in order to increase efficiency and to scale up the research effort