Quantitative Research Intern

About WorldQuant

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. The firm seeks to produce high-quality predictive signals (alphas) through its proprietary research platform, applying financial strategies focused on market inefficiencies. Teams collaborate to drive the production of alphas and financial strategies that support 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, challenge conventional thinking, and maintain an attitude of continuous improvement.

The Role

Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to financial markets, researchers search for new alphas. The team uses tested processes to identify high-quality predictive signals believed to be undiscovered by the wider market. These signals are mathematical expressions of data that serve as inputs in quantitative models.

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 aim to predict movements in global financial markets. While prior finance experience is not required, successful candidates must have a strong interest in learning about finance and global markets, with a research scientist mindset. The role is well-suited for self-starters and creative, persevering deep problem solvers motivated by unsolved challenges.

Responsibilities

• Assist with daily research and analysis tasks.
• Support scripting for monitoring and alpha signal analysis.
• Learn and apply knowledge of stock markets and other capital markets to ongoing research efforts.
• Work with highly accomplished senior staff, who provide mentoring and guidance to help interns succeed.

What You’ll Bring

• Strong academic record; candidates holding or pursuing a BS (Hons), MS, or PhD in Math, Physics, Computer Science, or Engineering are strongly preferred.
• Exceptional candidates without an advanced degree will also be considered.
• Prior quant analysis or trading experience is a benefit.
• Experience working under a Linux environment.
• Experience with scripting; Python and shell scripting are required.
• Programming skills; Python is a must.
• Machine learning and/or linear algebra coursework is a plus.
• Participation in data mining and/or programming competitions is preferred.
• Currently in the final or penultimate year of studies and available to commit full-time to an internship for at least 3 months.