Quantitative Software Developer

• Own and operate the end-to-end portfolio construction pipeline
• Build and maintain scalable data pipelines and model execution frameworks
• Ensure production systems are reliable, automated, and auditable
• Implement monitoring, alerting, and logging to maintain system stability Troubleshoot production issues across data, models, and infrastructure
• Productionize quantitative models, signals, and portfolio construction logic
• Build reusable tools for optimization, risk modeling, and constraints
• Support research workflows with consistent and scalable infrastructure Partner with researchers to bridge the gap between prototype code and production systems
• Work closely with PMs, researchers, and engineering teams
• Translate model outputs into implementation-ready portfolios Continuously improve system performance, automation, and code quality

Do you have experience in Tooling?, * 0-3 years of experience in software engineering, quant development, or similar

• Strong Python skills with focus on clean, maintainable, production-quality code
• Degree in Computer Science, Engineering, Mathematics, or related field Solid foundation in statistics, linear algebra, or optimization concepts
• Experience with SQL/PostgreSQL and data-intensive workflows
• Exposure to ETL pipelines, scheduling tools (Airflow, Prefect), or monitoring systems
• Familiarity with Git, testing frameworks, and CI/CD practices
• Exposure to financial data (Bloomberg, etc) or quantitative libraries (NumPy, pandas, SciPy) is preferred but not required, * Strong software engineer first, with interest in finance
• Thinks in terms of systems, reliability, and scalability
• Detail-oriented and cares about correctness and maintainability
• Curious about markets and motivated to learn on the job

4.04.0 out of 5 stars Chicago, IL 60625 $120,000 - $170,000 a year