Quantitative Researcher

The role

This person will do research to find new predictive signals (alphas) from data for WorldQuant's quantitative models. The work centers on building computer-based models that predict movements in global financial markets.

What you will do

• Conduct rigorous research to find new alphas
• Apply data to financial markets using tested processes
• Identify high-quality predictive signals not found by the wider market
• Build computer-based models that predict global financial market movements
• Work collaboratively in team-oriented research

Required qualifications

• Master's or doctoral degree, or bachelor's degree from a leading university, in a quantitative or highly analytical field (e.g. Industrial Engineering, Physics, Computer Science, Mathematics, Financia
• Excellent academic record
• Proficiency in C/C++ or Python, or other programming languages
• Excellent problem solving abilities and judgment with strong attention to detail
• Mature and thoughtful, able to work in a collaborative, team-oriented culture
• Able to communicate in English, written and verbal
• Strong interest in learning about finance and global markets
• Research scientist mindset, self-starter, creative and persevering deep thinker

Benefits

• Learn the connections between advanced mathematical, computational and machine learning methods and the financial industry
• Highly competitive compensation
• Learn from world-leading quantitative researchers
• Friendly and collegial working environment
• Opportunity to be promoted to Vice President in 2-4 years, followed by possible global mobility within the firm (for the right role and right reasons)

Before you apply

• Prior finance experience is not required

About the company

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. Its culture pairs academic sensibility with accountability for results.