AI-Driven Quantitative Trading Engineer

JPMorgan Chase & Co.; City of Rochester (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks an Associate or Vice President for the Quantitative Trading & Research group to build AI-driven trading infrastructure.

You will work at the boundary of quantitative research, low-latency engineering, and ML infrastructure to create reliable platforms that shorten the path from raw data to production strategies. This role emphasizes turning ambiguous research requirements into clean interfaces, fast systems, and reproducible workflows while addressing

Qualifications

• Bachelor’s, Master’s, or PhD in computer science, engineering, mathematics, or related field.
• 2+ years of professional software engineering, quantitative development, low-latency systems, or ML infra experience.
• Strong modern C++ skills: data structures, concurrency, memory management, profiling, production debugging.
• Proficiency in Python for quantitative researchers or data-intensive applications.

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

Low-latency

ML infrastructure

Performance profiling

Software design

Reliability

Production debugging

Interfaces / API design

Education

Bachelor’s, Master’s, or PhD in computer science, engineering, mathematics

Tools

Linux

CUDA

PyTorch

JAX

GPU clusters

Ray

Kafka

Kubernetes

Spark

Job description

JPMorgan Chase & Co. in New York seeks an Associate or Vice President for the Quantitative Trading & Research group to build AI-driven trading infrastructure.

You will work at the boundary of quantitative research, low-latency engineering, and ML infrastructure to create reliable platforms that shorten the path from raw data to production strategies. This role emphasizes turning ambiguous research requirements into clean interfaces, fast systems, and reproducible workflows while addressing