Senior Backend Engineer

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.

Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results.

Employees are encouraged to think openly about problems, balancing intellectualism and practicality.

Excellent ideas come from anyone, anywhere.

Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest.

We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent.

There is no roadmap to future success, so we need people who can help us build it.

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers.

Our environment is relaxed yet intellectually driven.

We seek people who think in code and are motivated by being around like-minded people.

• Design, develop, and optimize backend systems and services
• Architect and maintain database solutions that meet performance and reliability requirements
• Implement efficient network communications and API endpoints
• Collaborate with frontend developers, ensuring seamless integration between systems
• Apply CS fundamentals to solve complex technical challenges
• Contribute to technical decision-making and architectural discussions
• Mentor junior engineers and promote engineering best practices
• 5+ years professional software development experience with a strong focus on backend systems
• Computer Science Fundamentals: Strong knowledge of data structures, algorithms, system design, and software architecture principles
• Database Proficiency: Deep understanding of database systems, query optimization, schema design, and data modeling
• Network Knowledge: Solid grasp of network protocols, API design, and secure communication implementations