Axelon Services Corporation in Jersey City, NJ seeks an experienced Python Quantitative Developer to architect a scalable, hybrid-cloud pricing platform. You will design a job orchestration system and an event-driven lifecycle pipeline for large-scale grid computations.
The role requires deep Capital Markets knowledge, expertise in Docker/Kubernetes, and strong programming skills in Python and C. A hybrid work setup is available in Jersey City, with on-site collaboration and cloud integration.
#J-18808-LjbffrSenior Python Quant Developer — Hybrid Cloud Grid & ML in jersey city at Unknown Company
This position is listed as full time and hybrid.