Quantitative Developer: Production-Grade Models & Pipelines

Poesis is seeking a Quantitative Developer to transform research ideas into production-grade code. This hybrid role entails working three days a week at the Menlo Park office, where you'll help build data pipelines, implement models, and ensure clean, reproducible results. The ideal candidate will have strong Python skills, experience building analytical tools, and a solid understanding of financial datasets. The position includes a competitive benefits package and opportunities for growth in a collaborative environment. J-18808-Ljbffr