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# Quantitative Software Developer

- **Company:** CFS, Inc.
- **Location:** Chicago, IL, United States
- **Experience:** Starter
- **Salary:** $120,000.0 - $170,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Software Quality, Continuous Integration, Extract Transform Load (ETL), Monitoring of Systems, Python (Programming Language), PostgreSQL, NumPy, SciPy, Software Engineering, SQL Databases, Data Logging, Git, Pandas, Information Technology, Production Code, Data Pipelines
- **Published:** May 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=94f6ccd2f30aab32

## About the Role

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

## Description

* 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


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