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 through our proprietary research platform to employ financial strategies focused on market inefficiencies.
Requirements
- At least 7 years of experience writing production-quality Python code on Linux
- Willingness to learn C++ is required; prior experience with C++ is a strong plus
- Strong interest and motivation to work with machine learning, deep learning, and backtesting platform design and development
- Solid understanding of Linux system programming fundamentals
- Proven ability to design and develop large-scale, distributed systems
- Strong knowledge of data structures, algorithms, high-performance application design, and concurrency patterns
- Self-motivated and able to work independently with minimal guidance
- Proficiency in English
Benefits
- Competitive and attractive compensation package
- Strong culture of learning and development
- Premium Health Insurance and Employee Assistance Program
- Generous time-off policy
- Re-creation sabbatical leave (based on tenure)
- Trade Union benefits for staff and family
- Team building activities
- Annual company trip and occasional global conferences
- Happy-hour with tea break, snacks and meals every day in the office!