2026 Quantitative Research Intern (Dubai Off Cycle)

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

Job summary

A financial management company in Dubai is seeking a Quantitative Research Intern for a minimum of 6 months. The intern will work in a collaborative team to develop machine learning algorithms for return predictions and enhance feature libraries. Candidates should have a degree in a STEM field, be proficient in Python and modern data science tools like Jupyter and pandas. Excellent analytical and communication skills are required, alongside a self-motivated and detail-oriented approach.

Qualifications

• Minimum 6 months, working in a collaborative team with a focus on machine learning.
• 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 modern data science tools stacks

Excellent communication skills

Strong analytical skills

Education

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

Tools

Jupyter

pandas

numpy

sklearn

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 learning.

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