Quantitative Researcher

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.

Requirements

• Bachelor's, Master's, or PhD degree in a highly quantitative or highly analytical field
• Research scientist mindset, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc.
• Knowledge of Linear Algebra, Statistics, Machine Learning
• Prior experience in Finance/Trading is a plus
• Competent in a programming language (Python, Unix)
• Good English language skills
• Strong interest in learning about worldwide financial markets
• Relentless drive to succeed, supplemented by a strong work ethic