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.
WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Research Intern. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep problem solver who is motivated by unsolved challenges.
This position is responsible for assisting with daily research and analysis tasks – which includes scripting for monitoring and alpha signal analysis. Candidates need not have prior knowledge of financial markets, but must have a strong interest in learning about stock markets and other capital markets. Our highly accomplished senior staff will provide the interns with mentoring and guidance to help them succeed.
- Candidates holding or pursuing a BS (Hons), MS or PhD in in Math, Physics, Computer Science or Engineering with excellent academic records are strongly preferred.
- Exceptional candidates without an advanced degree will also be considered. Prior quant analysis or trading experience is a benefit.
- Have experience working under a Linux environment
- Have experience with scripting language, Python and shell scripting are required
- Programming skills, python is a must
- Machine learning and / or linear algebra course work is a plus
- Participated in data mining and or programming competitions (preferred)
- Currently at final/penultimate year of studies, available to commit full-time internship for at least 3 months for the period of July/August to December 2026
WorldQuant has adopted the Tripartite Standard on Recruitment Practices, and has committed to be a fair and progressive employer.
By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
Skills Required
- Pursuing a BS, MS or PhD in Math, Physics, Computer Science or Engineering
- Experience working under a Linux environment
- Experience with Python and shell scripting
- Machine learning and linear algebra coursework
- Participation in data mining and programming competitions
WorldQuant Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about WorldQuant and has not been reviewed or approved by WorldQuant.
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Healthcare Strength — Feedback suggests medical and dental coverage is fully paid for employees and dependents, indicating strong health benefits support. This breadth and cost coverage positions healthcare as a notable strength.
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Leave & Time Off Breadth — Feedback suggests paid time off is generous, with substantial vacation, personal days, and sick time described. The overall time‑off structure is portrayed as comprehensive.
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Parental & Family Support — Feedback suggests fully paid parental leave is provided. Family-oriented provisions complement core benefits to support caregiving needs.
WorldQuant Insights
What We Do
WorldQuant is a global quantitative asset management firm with over $7 billion in assets under management. Founded in 2007 by Igor Tulchinsky with the belief that talent is global, but opportunity is not, WorldQuant has more than 1,000 employees spread among 26 global offices. WorldQuant seeks to get to the future faster, guided by the principle that there are an infinite number of insights to discover. The firm develops and deploys investment strategies across a variety of asset classes in global markets. For more information on WorldQuant’s philosophy and culture, please visit www.worldquant.com.
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