Quantitative Developer

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

• Background in Computer Science, Engineering, or related discipline
• Strong computer science fundamentals - algorithms, design patterns, OOP, threading, multiprocessing, etc.
• Clean and Concise coding style
• Demonstrate mastery of any programming language. Python is best, or C++ is great, others are fine
• Experience working in Linux environments is a huge plus
• Experience building distributed or data intensive systems is a big plus
• Demonstrated problem solving abilities, insight, and judgment as well as a strong attention to detail
• Strong communication skills; ability to express complex concepts in simple terms, especially to non-experts

Benefits

• Premium private health insurance
• Strong culture of learning and development: training courses, guest speakers, share and learn events, etc.
• Regular team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams.