Quantitative Developer
Core
Build and extend data platforms, optimization, orchestration, and validation engines for systematic, research-driven investment strategies.
Role type
Quantitative Developer (Data Platform & ML) (via careerplan.io/jobs/g5fe830d-quantitative-developer-at-rachel-paul-recruiting)
Builds
Cloud-based research APIs, high-performance backtesting engines, and AI-driven applications
Domain
Quantitative Finance / Systematic Investment Strategies
Deliverable
production ML models
Required skills
Python, NumPy, Pandas, SQL, Object-Oriented Programming, Microservices, Cloud Architecture, AI/Agentic Frameworks
Preferred skills
Quantitative Finance experience
Technologies
Python, SQL, NumPy, Pandas, Cloud, AI, Machine Learning
Responsibilities
Build and extend data platforms, optimization, orchestration, and validation engines; Develop API infrastructure incorporating millions of data points; Create cloud-based research APIs and advanced visualizations; Develop high-performance backtesting engines for new product launches; Develop machine learning and AI-driven applications
