Deep Researcher

The role

You will build predictive signals for financial strategies using a structured research process that combines fundamental knowledge, data exploration and quantitative analysis. You will become a domain expert on each fundamental topic you cover and stay current on AI and LLM research for quantitative finance.

What you will do

• Build predictive signals using a structured and methodical research process
• Combine 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
• Identify opportunities to integrate AI and LLMs into quantitative finance applications

Required qualifications

• Bachelor's (Hons), Master's or PhD degree in a highly quantitative or analytical field such as Math, Physics, Computer Science or Financial Engineering
• Degree from a leading university with excellent academic records
• At least 2 years of relevant financial research experience
• Creative problem solver with a passion for experimentation
• Strong foundation in mathematics, statistics, and quantitative modeling
• Strong interest in financial markets
• Proficiency in Python and C++
• Excellent written and oral communication skills in English

Nice to have

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

About the company

WorldQuant develops and deploys systematic financial strategies across many asset classes and global markets. It is built on a culture that pairs academic sensibility with accountability for results.