{"description": "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 looking for an exceptionally talented software engineer intern to join our team. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies.
You will be working with Quants very closely to develop, enhance, and support cutting-edge tools and systems that drive data decision making. The role provides a unique opportunity to gain exposure to full lifecycle of quant finance.
Assist in developing and optimizing data infrastructure that powers our quantitative research and trading strategies .
Help design and implement computational frameworks that execute our quantitative models and strategies.
Work with Quants to understand their needs and provide technical solutions that enhance their workflow.
What You'll Bring
Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Data Science
Python programming proficiency
Familiarity with data structure and algorithms
Strong understanding of software development principles and methodologies
Excellent communication and interpersonal skills
Interest in finance, quantitative trading or financial data a plus
Internship duration - at least a 3 months' commitment for the period June to December 2026
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