Senior Quantitative Python Developer

About the role

Develop and evolve scalable, production-grade quantitative libraries by translating requirements from quantitative teams into engineered software components and frameworks. Define engineering, testing, delivery, and ModelOps standards, support developers through design and code reviews, and advance AI-assisted practices for coding, testing, documentation, and maintenance. Requires advanced Python skills, strong pandas and NumPy proficiency, significant Spark/PySpark experience, and experience building enterprise Python libraries and productionizing quantitative models. Candidates should have a scientific degree, senior-level autonomy, knowledge of software engineering and ModelOps, and the ability to coordinate across quantitative, product, and delivery teams.