Quantitative Developer
Rachel Paul Recruiting
- Location
- Greenwich, US
- Workplace
- On-site
- Job type
- Full-time
- Salary
- $105k–$145k
- Posted
- 1 week ago
- Source
- DevITJobs
Requirements:
- 3+ years of experience with Python, including NumPy and Pandas
- SQL proficiency
- Strong understanding of object-oriented programming, design patterns, microservices, and cloud architecture
- Familiarity with AI and agentic frameworks
- Excellent communication and collaboration skills
- Quantitative finance experience is a strong plus
Responsibilities:
- Build and extend data platforms, optimization, orchestration, and validation engines
- Develop API infrastructure that incorporates millions of data points
- Create cloud-based research APIs and advanced visualizations
- Build high-performance backtesting engines for new product launches
- Develop machine learning and AI-driven applications
Technologies:
- AI
- API
- Cloud
- Support
- Machine Learning
- Python
- SQL
- microservices
- numpy
- pandas
- OOP
- Quant
More
We are a global investment firm combining financial theory and quantitative research to deliver systematic, research-driven investment strategies for institutional clients, including pension funds, endowments, and sovereign wealth funds. You will join our Quantitative Research Development team, which builds platforms for research and portfolio management workflows, and support our Specialized Investments Group as it develops tax-aware and tax-efficient strategies. The role is based in Greenwich, Connecticut, and follows a hybrid schedule with three days in the office.
last updated 43 week of 2026