Jump Trading · Prop trading · New York City or Chicago · Junior · $225k · Posted 2026-03-30
Apply now →Applications go to Jump Trading's own site.
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our business model is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and strong focus. We aim to replace competitive, simple ROI with excellence and creativity. At Jump, our success spans multiple investment vehicles, we manage global asset allocation, design, model and validate systems to optimize our investors' inflows, compounded and stable returns.
At Jump, we bring together world class talent, battle tested infrastructure, and complex thinking to solve and build automated trading strategies across multiple risk, up from short-term and exponential strategies. Our technology stack is built on running JAX with GPU acceleration, Kubernetes, and other best-of-breed tools. We are language-agnostic, always have deep quantitative researchers and systems teams to attack complex computational problems. We value our time and output; no rituals.
We are looking for experienced Senior Computing Infra Engineers / Quantitative Architects to join a “hybrid” research center (heared in the center of the cloud and on-prem, with the latest Tech and ways of working). It’s a collaborative, performance-focused, high autonomy environment where ownership of the complete offline stack is imperative. The team is global, as is the algorithm and data.
What You'll Do:
- You'll contribute to one or more of the following areas:
- Strategy engine building: Own the complete online algorithm and trade state machine, i.e. model scalability, embedding, and trade message; you own strong and complex system architecture for daily unloads, failovers, and load balancing to decide the processes for group and team decision.
- Content Data: Data ingestion and feature engineering, ingest, stream, and feature, feature api of multiple data sources,
- Data quality and timezone handling: Optimize----- Y. Clean and verify data from multiple sources to withstand