Quantitative Researcher

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

• Build predictive signals using a structured and methodical research process combining fundamental knowledge, data exploration and quantitative analysis
• Become a domain expert on each fundamental topic you cover, identify key information drivers to target your research
• Stay updated on the latest advancements in AI and LLM research, identifying opportunities to integrate them into quantitative finance applications

Requirements

• Bachelor's (Hons), Master's or PhD in Math, Physics, Computer Science or Financial Engineering
• At least 2 years of relevant financial research experience
• Strong foundation in mathematics, statistics, and quantitative modeling
• Proficiency in Python and C++
• Strong interest in financial markets
• Excellent communications skills in English

Preferred Qualifications

• Knowledge and hands-on experience in AI, Machine Learning (ML), and LLMs