Description
Poesis is hiring a Quantitative Developer to convert quantitative research ideas into production-grade code and tools for investment decision-making. The role involves building data pipelines, processing financial and fundamental datasets, developing features, back-testing, evaluating models, running experiments, and contributing to code quality, APIs, and reproducibility standards. The position requires at least three years of professional experience in model infrastructure, data pipelines, and analytical tools, strong Python and SQL skills, quantitative and machine-learning fundamentals, and a relevant advanced degree. It is a hybrid role based in Menlo Park, California, with three days per week on-site, and offers medical, dental, vision, relocation, and visa sponsorship benefits.
