full-time
Quantitative Developer with Python
Rose International
- Employer
- Rose International
- Location
- Jersey City, New Jersey, United States
- Working pattern
- on-site
About the role
Architect, build, and operate a large-scale distributed pricing grid on AWS or GCP, including orchestration for millions of pricing tasks and deployment of quantitative models. Optimize performance, cost, and resource use while ensuring reliable data logistics, high availability, and recovery capabilities in collaboration with quantitative development, trading, and risk teams. Requires a bachelor's degree in Computer Science, Engineering, or a related technical field and at least eight years of experience in quantitative development, quantitative research, or a related area. Candidates should have strong Python and distributed-systems experience, hands-on AWS or GCP experience, Docker and Kubernetes expertise, and strong problem-solving and communication skills; financial-industry experience and large-scale Monte Carlo, VaR, or XVA work are preferred.