The role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

What You'll Bring;

A successful candidate will possess:

• A minimum of 4 years of writing production-quality code in Python on Linux platform
• Candidate must be willing to learn C++. Experience in C++ is a strong plus
• Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus.
• Strong understanding and experience with Linux system programming fundamentals
• Ability to develop large-scale, distributed systems
• Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns.
• Self-motivated and able to work independently with minimal direction
• Proficiency in English

An outstanding candidate will also have experience with one or more of:

• Developing systems for managing and performing computation on large-scale graph data
• Streaming / dataflow systems
• Candidates need not have prior experience in financial services.