Quantitative Researcher

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. 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 thinker who is motivated by unsolved challenges.

What You’ll Bring:

Candidates holding or pursuing a Bachelor's (Hons), Master's or PhD degree in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university with excellent academic records are strongly preferred

Have a research scientist mindset, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc.

Knowledge of Linear Algebra, Statistics, Machine Learning, Artificial Intelligence

Prior experience in Finance/Trading is a plus.

Be competent in a programming language (Python, Unix)

Possess good English language skills

Have a strong interest in learning about worldwide financial markets

Possess a relentless drive to succeed, supplemented by a strong work ethic

WorldQuant has adopted the Tripartite Standard on Recruitment Practices, and has committed to being a fair and progressive employer.