2026 Quantitative Research Intern (Dubai Off Cycle).

Millennium Management; Dubai; On-site; AED 25,000 - 60,000; Full time

Job summary

A leading finance firm based in Dubai is seeking a Quantitative Research Intern for an off-cycle program. The role involves collaboration with a team to develop feature libraries and implement machine learning algorithms. Ideal candidates will have expertise in Python and a relevant degree. Strong problem-solving and analytical skills are essential for success in this fast-paced environment.

Qualifications

• Minimum 6 months internship.
• Demonstrated knowledge of quantitative finance and statistical analysis.
• Hands-on experience on predictive data-science projects.

Responsibilities

• Develop additional feature libraries.
• Implement novel machine learning algorithms for return predictions.

Skills

Expert in Python

Proficient in data science tools (Jupyter, pandas, numpy, sklearn)

Strong communication skills

Analytical skills

Problem-solving skills

Education

Degree in Mathematics, Computer Science, Statistics, or related STEM field

Job description

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

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