Perennial Resources International ยท 1 month ago
Quantitative Developer
Perennial Resources International is seeking a Quantitative Developer for a major firm located in Midtown, Manhattan. This role focuses on supporting quantitative research, portfolio construction, and systematic portfolio management, working closely with researchers and portfolio managers to design scalable tools and infrastructure.
ConsultingInformation Technology
Responsibilities
Build and improve systems that support automated, customized, and transparent portfolio management
Design and enhance portfolio construction, optimization, rebalancing, and order generation systems with a focus on reliability and accuracy
Engineer cloud-based data and services infrastructure to support research and portfolio management workflows at scale
Develop high-performance backtesting and historical simulation engines to validate new investment strategies
Design intuitive research APIs and tools to provide efficient access to data, models, and computational resources
Collaborate with quantitative researchers to introduce new datasets for signal research and integrate them into production systems and models
Productionize new models and improvements to existing models, taking ownership for their ongoing support and monitoring to ensure robustness and accuracy
Design and deploy infrastructure to monitor data quality across research and portfolio management systems
Qualification
Required
Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Physics, or a related field
Six to nine years of experience as a developer, with expertise in Python and a quantitative stack (NumPy, Pandas, etc.)
Solid grasp of large-scale application design, distributed computing, containers, and cloud infrastructure
Proficiency with Git and modern software development practices, automated testing and CI/CD workflows
Familiarity with AI/agentic frameworks, particularly as it relates to engineering productivity and capability
Strong analytical and problem-solving skills, with an aptitude for mathematics, statistics, and finance
Excellent communication skills and the ability to work collaboratively across teams and functions
Understanding of or experience in quantitative finance is a strong plus
Benefits
Comprehensive benefits and bonus package