Senior Quantitative Engineer

About the role

Build and maintain production-quality quantitative data pipelines, analytical tools, and models, turning research prototypes into reviewed, tested, scheduled, and documented code. Develop verification checks, identify and communicate data-quality issues, and coordinate remediation with data and technology teams. Typically requires six or more years of software or data engineering experience, including quantitative work, along with production-quality Python, advanced SQL, and experience designing data-intensive systems and scheduled pipelines. Candidates should understand applied statistics, software engineering practices, and clear technical communication; a degree in computer science, engineering, mathematics, or a related field is required, while trading, broker-platform, tick-data, and production machine-learning experience are desirable.