Quantitative Developer | Trading Team

11 days ago

Hong Kong, Hong Kong or Singapore, SingaporeMid Level / Senior

Responsibilities

Manage the monitoring system and serve as the primary escalation point for error messages and failed jobs.
Trace issues to their sources, identify bugs, write fixes, and resolve production problems directly.
Investigate recurring pipeline issues and improve system stability, efficiency, and performance.
Optimize ML models and GPU workloads for faster and more efficient execution.
Contribute to full-cycle development, including research, coding, testing, deployment, upgrades, rollouts, and rollbacks.
Provide direct support to end users and troubleshoot research and trading system issues.
Maintain reliable production operations and respond during trading hours when needed.

At least 2-5+ years of experience in production engineering or trade support, including experience solving problems with code in a live trading environment.
Strong software development skills in Python and C++ for building efficient, modular, and reliable systems.
Strong production engineering skills in Linux and Bash, including scripting, troubleshooting, monitoring, and operating real-time systems.
Hands-on debugging ability with a focus on resolving issues rather than forwarding them to others.
Ability to work autonomously and handle high-stakes situations where downtime has significant consequences.
Reliable availability and responsiveness to support production systems during trading hours when needed.
Strong learning ability, intellectual curiosity, versatility, originality, pragmatic judgment, and communication skills.
Ability to reason through quantitative problems and communicate effectively with quantitative researchers and engineers.
Preferred experience with neural networks and optimizing ML or GPU workloads.
Preferred experience with CI/CD, Infrastructure as Code, containerization, and observability tooling.
Two or more years of experience with industrial-grade Python and C++ codebases is preferred.
Familiarity with distributed large-scale systems is preferred.

1,001-5,000 employees