Jr Quant Developer
On-siteNew York City, New York, United States or New York, United States
Job Summary
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. Productionize new models and improvements to existing models, taking ownership for their ongoing support and monitoring. Design and deploy infrastructure to monitor data quality across research and portfolio management systems. Build and improve systems that support automated, customized, and transparent portfolio management, including construction, optimization, rebalancing, and order generation with a focus on reliability and accuracy.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Physics, or a related field
- 1+ years of experience as a developer
- expertise in Python
- expertise in a quantitative stack (NumPy, Pandas, etc.)
- Solid grasp of large-scale application design
- Solid grasp of distributed computing
- Solid grasp of containers
- Solid grasp of cloud infrastructure
- Proficiency with Git
- Proficiency with modern software development practices
- Proficiency with automated testing
- Proficiency with CI/CD workflows
- Strong analytical and problem-solving skills
- aptitude for mathematics
- aptitude for statistics
- aptitude for finance
- Excellent communication skills
- ability to work collaboratively across teams and functions
Desired Qualifications
- Understanding of or experience in quantitative finance
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