Quantitative Developer

Build and maintain research infrastructure and production systems, collaborate with quantitative researchers, develop trading infrastructure, improve system scalability, and automate deployment and validation. The role may also involve machine learning pipelines, market microstructure tools, portfolio optimization systems, and data pipelines.

Responsibilities

• Build the team's end-to-end machine learning pipeline
• Implement machine learning features and algorithms
• Improve model design, tools, and infrastructure
• Develop tools for market microstructure research
• Generate and analyze market microstructure features
• Design a portfolio optimization system
• Conduct full-cycle development from research through production deployment
• Support end users and troubleshoot issues
• Manage system upgrades
• Automate deployment, configuration, and validation

Requirements

• 5+ years of solving challenging problems through coding in industry or academia
• Python
• C++
• Software development
• Quantitative problem-solving
• Communication with quantitative researchers
• Over two years of experience with industrial-grade codebases using compiled languages such as C++
• High-performance computing
• Distributed large-scale model training

Benefits

• Opportunities for professional growth