Senior Python Software Engineer
WorldQuant6 months ago
Budapest, HungarySenior
Responsibilities
- Build software platforms and tooling for large-scale quantitative research and portfolio production.
- Write and maintain production-quality Python code on Linux.
- Design and develop large-scale distributed systems and high-performance applications.
- Apply data structures, algorithms, concurrency patterns, and Linux system programming fundamentals.
- Collaborate with researchers and portfolio managers on firmwide technology.
- Potentially work with graph computation, streaming, dataflow, machine learning, deep learning, and backtesting platform technologies.
Requirements
- At least 7 years of experience writing production-quality Python code on Linux.
- 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.
- Willingness to learn C++; prior C++ experience is strongly preferred.
- Strong interest in machine learning, deep learning, and backtesting platform design and development; prior experience is a plus.
- Experience with large-scale graph computation or streaming/dataflow systems is a plus.
- Ability to work independently with minimal direction and proficiency in English.
- Prior financial services experience is not required.
Benefits
- Premium private health insurance and life insurance with savings plan.
- Employee Assistance Program and fully covered sick leave.
- Training courses, library access, guest speakers, learning events, and global conferences.
- Regular offsite team-building events, annual conferences, occasional global summits, and opportunities to travel and connect with global teams.
- Competitive compensation package.
About WorldQuant
WorldQuant is a privately held quantitative asset management firm founded in 2007 and headquartered in Old Greenwich, Connecticut. It builds proprietary research platforms and trading infrastructure to generate predictive signals and deploy systematic investment strategies across global markets and asset classes for institutional investors. The firm manages over $7 billion in assets under management and operates a network of offices worldwide.