AI-Driven Quantitative Trading Engineer

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co. invites applications for an Associate or Vice President in the QTR AI Market Lab to build AI-driven systematic trading tech across FX, rates, commodities, credit, equity and related markets.

You will design high‑performance, low‑latency C++ services and ML deployment pipelines, and collaborate with researchers and traders to deliver reliable, production‑grade systems that operate at scale.

Qualifications

• Bachelor's, Master's, or PhD in computer science, engineering, mathematics, or related field.
• 2+ years of professional experience in software engineering, quantitative development, low-latency systems, or ML infrastructure.
• Strong modern C++ skills: data structures, concurrency, memory management, performance profiling, and production debugging.
• Proficiency in Python and experience building software for quantitative researchers or data-intensive applications.
• Solid understanding of distributed systems, testing, software design, reliability, and operating production services end-to-end.
• Evidence of owning performance-critical systems from design → deployment → monitoring → incident resolution

Responsibilities

• Design and build high-performance market-data, feature-computation, backtesting, simulation, model-serving, execution, and monitoring components for systematic trading.
• Develop reliable low-latency C++ services and APIs that integrate quantitative models with real-time market data, pricing, risk controls, and order-management systems.
• Build scalable data and research pipelines that support granular historical data, reproducible experiments, distributed computation, and rapid strategy iteration.
• Optimize critical paths for throughput, tail latency, memory efficiency, resilience, and deterministic behavior; use profiling and measurement to guide engineering decisions.
• Productionize machine-learning models, including training workflows, model versioning, real-time inference, deployment automation, observability, and rollback controls.
• Partner with researchers and traders to translate strategy requirements into robust software, improve research-to-production consistency, and support live systems.

Skills

C++

Python

Distributed systems

Performance profiling

System reliability

Production debugging

Software design

Incident response

Education

Bachelor's degree

Master's degree

PhD

Tools

PyTorch

JAX

CUDA

GPU clusters

Ray

Kafka

Kubernetes

Spark

Job description

JPMorgan Chase & Co. invites applications for an Associate or Vice President in the QTR AI Market Lab to build AI-driven systematic trading tech across FX, rates, commodities, credit, equity and related markets.

You will design high‑performance, low‑latency C++ services and ML deployment pipelines, and collaborate with researchers and traders to deliver reliable, production‑grade systems that operate at scale.