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.
The Role: We are seeking interns to work alongside experienced quantitative researchers around the world. You will be responsible for supporting quant researcher's from data study, idea generation, through to alpha construction. You will be exposed to a sophisticated quantitative research platform with access to an extensive range of large and unique datasets across the asset class spectrum. We will provide you with opportunities to refine your research skills, collaboration opportunities with other quant research teams globally, and guidance sessions on career development and your next steps. Starting in May 2027, the program will run for a duration of 6 months.
What You'll Bring
- Candidates holding or pursuing a BS, MS, or PhD in Math, Physics, Computer Science, Statistics, Engineering, or other quantitative fields with excellent academic records are strongly preferred.
- Python and shell scripting are required. Other programming languages are a plus (e.g., R, K, C#, C++, Matlab...).
- Candidates should have a scientific attitude, strong intellectual curiosity, be self-motivated, and naturally inclined to deep thinking, driven by unsolved challenges.
- Prior experience translating mathematical concepts into code is required. Any prior quantitative research experience or working in a data-intensive research environment is a plus.
- Application of machine learning, NLP, or AI techniques is a plus.
- Fluent English and excellent communication skills are required.
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 or holding a BS, MS, or PhD in Mathematics, Physics, Computer Science, Statistics, Engineering, or another quantitative field
- Excellent academic record
- Python programming
- Shell scripting
- Experience translating mathematical concepts into code
- Fluent English
- Excellent communication skills
- Scientific attitude, intellectual curiosity, self-motivation, and deep-thinking ability
- Quantitative research experience or experience in a data-intensive research environment
- Experience applying machine learning, NLP, or AI techniques
- Experience with R, K, C#, C++, or MATLAB
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.
-
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.
-
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.
-
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.
