JPMorgan Chase
Quantitative Trading & Research - Quantitative Developer Systematic Trading - Associate
$150K–$200K
New York, NY · Full-time · Posted Sep 8, 2026
- Experience
- 2+ years of professional experience in software engineering, quantitative development, low-latency systems, or ML infrastructure.
- Education
- Bachelor’s, Master’s, or PhD in computer science, engineering, mathematics, or a related technical discipline (or equivalent professional experience).
About the job
Build high-performance research and production technology for AI-driven systematic trading, from market-data and research pipelines to model serving and live trading systems.
What you'll do
- Design and build trading, research, simulation, execution, and monitoring components.
- Develop and optimize low-latency C++ services and scalable data pipelines.
- Productionize machine-learning models and partner with researchers and traders to support live systems.
What they ask for
- Bachelor’s, Master’s, or PhD in computer science, engineering, mathematics, or a related technical discipline (or equivalent professional experience).
- Strong modern C++ skills and proficiency in Python.
- Understanding of distributed systems, testing, software design, reliability, and production-service operations.
- Evidence of owning performance-critical systems from design through deployment, monitoring, and incident resolution.
Nice to have
- Experience with electronic trading architecture or market microstructure.
- Experience with ML/data tooling such as PyTorch, JAX, CUDA, GPU clusters, Ray, Kafka, Kubernetes, or Spark.
Pay
$150,000.00-$200,000.00 USD base salary
Tools
C++, Python, PyTorch, JAX, CUDA, Ray, Kafka, Kubernetes
AI focus
Productionize machine-learning models for systematic trading, including training workflows, model versioning, real-time inference, deployment automation, observability, and rollback controls.
Model-written summary · the original posting is authoritative