Quantitative Developer | Trading Team

原始資料於 2026-11-01 查閱；內容可能已更新，請查看原始職位。

Skills You'll Need
At least 2-5+ years of experience in a production engineering or trade support function. Experience solving challenging problems through code in a live trading environment.
Strong software development skills in Python (primary) and C++, with the ability to build efficient, modular, and reliable systems. A performance-oriented mindset is essential.
Strong production engineering skills in Linux and Bash, including scripting to get systems up and running, troubleshooting, monitoring, and operating real-time systems under pressure.
Hands-on debugging ability: Follow error messages to their source, identify the underlying problem, and begin the fix— This is a role for someone who resolves issues, not someone who escalates them.
Maturity and independence: Comfortable operating autonomously in a high-stakes environment where downtime carries real consequences.
Reliable and predictable availability to ensure smooth operations of production systems, including responsiveness during trading hours when needed.
Strong learning ability, intellectual curiosity, versatility, and originality combined with a pragmatic outlook. This position is connected to all facets of the "research to risk on” process and is accordingly well suited to people who wanting to learn all facets of the big picture.
Ability to reason through quantitative problems and communicate effectively with quantitative researchers and engineers.
Nice to Have
Understanding of neural networks and experience optimizing ML/GPU workloads for performance.
Experience with modern infrastructure and deployment practices such as CI/CD, Infrastructure as Code, containerization, and observability tooling (e.g., GitLab, Jenkins, Terraform, Ansible, Docker, Kubernetes, Prometheus, Grafana).
Two or more years working with industrial-grade codebases in Python and C++.
Familiarity with distributed large-scale systems.