full-time
Quantitative Developer – Python
Goldman Lloyds
- Employer
- Goldman Lloyds
- Location
- New York
- Working pattern
- on-site
- Salary
- $200,000–$250,000 / year
About the role
Build and enhance scalable Python applications, backend services, APIs, and distributed systems supporting trading, pricing, portfolio risk, and quantitative workflows. Integrate quantitative models with front-office applications and enterprise platforms, optimize performance, and contribute to architecture, software quality, deployment, and production stability. Requires 5+ years of software development experience and advanced Python skills, with strong expertise in backend engineering, APIs, distributed architecture, and performance optimization. Candidates should have experience with relevant communication technologies, C++ or high-performance system integration, Excel-based financial applications, and financial concepts, ideally in a hedge fund, investment bank, proprietary trading firm, or financial technology environment.