Quantitative Strategist

About the Company

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.

Responsibilities

• Work on alpha research, focusing on idea generation, data gathering, research/analysis, model implementation, and backtesting
• Combine rigorous scientific methods and machine learning or statistical learning techniques to explore and harness large datasets
• Develop and improve sophisticated Python-based software tools and libraries for statistical and machine learning research

Requirements

• Master's degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related fields from a top-ranked university
• Strong research and programming skills in Python
• Experience working with sophisticated Python-based software tools and libraries
• Excellent communication, analytical, and quantitative skills
• This role is only open to fresh graduates