Quantitative Developer
Jump Trading is a global trading firm where traders, engineers, and researchers develop trading strategies, models, infrastructure, and systems across asset classes and time horizons.
About Jump Trading
Jump Trading is a global trading firm focused on research-driven trading and the engineering of scalable models, tools, infrastructure, and execution systems. Its operations combine trading, technology, AI/ML, and quantitative research, and it also runs research and talent programs including conference travel grants and a fellowship program.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will maintain and evolve monitoring systems, investigate failures, diagnose root causes, write fixes, improve pipeline performance, and optimize machine learning and GPU workloads. You will contribute to development, testing, deployment, troubleshooting, upgrades, and operational support for research and trading systems.
Requirements
- 2 to 5 or more years of production engineering or trade support experience
- Experience solving problems with code in a live trading environment
- Strong Python and C++ development skills
- Strong Linux and Bash skills
- Hands-on debugging ability
- Ability to work independently in high-stakes environments
- Reliable availability during trading hours when needed
- Ability to reason through quantitative problems
- Effective communication with quantitative researchers and engineers
- Experience with CI/CD infrastructure as code containerization or observability tooling
- Familiarity with distributed large-scale systems
Responsibilities
- Manage monitoring systems and investigate failed jobs
- Identify bugs and write fixes
- Improve pipeline efficiency and performance
- Optimize machine learning models and GPU workloads
- Develop test deployment rollout and rollback processes
- Support end users and troubleshoot production issues
- Manage system upgrades