Quant jobs / Qube Research & Technologies
Quantitative Developer – Python
A Python developer role building core components of the firm's quantitative trading framework. It also carries reliability duties such as alerting and incident response.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Develop parts of the new quantitative trading framework
- Set alert thresholds and cut alert noise
- Support on-call rotations and incident playbooks
- Automate fixes for recurring issues
What they ask for
Required
- Advanced programming skills
- Strong Python for automation
- High code quality standards
- Low-latency or high-availability environment experience
- Root cause analysis
Preferred
- Real-time systems and HPC
- Kubernetes and AWS
- Education
- No degree level stated.
- Experience
- 2–10 years of professional experience
- Languages and tools
How to prepare
- Build a small service with metrics, alerts and health checks
- Study SLIs, SLOs and incident response practice
- Learn how trading frameworks structure market data and orders
- Practise Python testing and packaging
What to study
- Python for Quantitative Finance
- Trading Systems and Low-Latency Infrastructure
- Quantitative Data Engineering
Apply
Read the full posting on Qube Research & Technologies’s site before applying: requirements, location and pay can change after we check them.
View the posting on Qube Research & Technologies’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Qube Research & Technologies and doesn’t handle applications.
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