Worldquant29d ago

Quantitative Research Intern (Summer 2026)

Yerevan · Yerevanentry

OtherQuantitative Research InternQuantitative ResearchQuantitative Research 2026/27

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Quick Summary

Overview

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets.

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OtherQuantitative Research InternQuantitative ResearchQuantitative Research 2026/27

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

Responsibilities

~1 min read

→3rd year of studies or higher (including MSc and PhD students) from a top university in a highly analytical/quantitative field, such as: Mathematics, Computer Science, Physics, Economics, Finance or similar
→Research mind-set: being a deep thinker, creative, persevering, smart, a self-starter, attentive to detail, etc.
→Demonstrated ability to program in C++ and/or Python
→Willingness to learn about worldwide financial markets
→Knowledge of English (B2 level or above)
→Strong work ethic

Nice to Have

~1 min read

Participant of International or regional Mathematics/Programming/Economics/Physics Olympiads
Strong record of academic achievement (such as scientific publications, conference presentations, grants or awards)

To understand the connections between advanced mathematical, computational and machine learning methods, and the modern financial industry
Potential to be considered for a permanent position after graduation, based upon internship performance (among other factors)
To work with world-leading researchers in a friendly and collegial environment
To learn from who sits next to you!