C++ Software Engineer - Data Platform
Summary
Engineer on WorldQuant's data platform in Singapore, designing and maintaining core components of its distributed storage, compute, and service infrastructure (storage engines, query/compute execution, RPC/networking, replication and partitioning) that power the firm's systematic investment research. Work spans system design, code review, and resolving production issues in modern C++ on Linux.
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.
The Role
- Design, develop, and maintain core components across our distributed storage, compute, and service platforms - including storage engines, query and compute execution, RPC/networking layers, and distributed coordination (routing, partitioning, replication).
- Partner with internal stakeholders across research and engineering teams to translate data-access, compute, and performance requirements into concrete design and implementation work.
- Investigate and resolve production issues - from correctness bugs to performance regressions.
- Participate in code review, system design, feature development, and productionization.
What You'll Bring
- Degree in Computer Science or a related field.
- 2+ years of professional software engineering experience.
- Strong fundamentals in data structures, algorithms, and systems-level thinking (memory management, concurrency, I/O).
- Proficiency in modern C++ (C++11 or higher); comfort with STL.
- Solid working knowledge of UNIX/Linux development environments.
- Experience using AI-assisted coding tools (e.g., Claude Code, OpenCode) to accelerate development.
- A clear, proactive communicator who works well with a globally distributed team.
Nice To Have
- Python
- Exposure to distributed systems concepts (replication, sharding, consensus), query/compute engines, or columnar/analytical storage formats.
- Experience with RPC frameworks.
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