AI-Driven Quantitative Trading Engineer

Next Frontier Capital; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. is hiring for an Associate or Vice President in the Quantitative Trading & Research (QTR) group’s AI Market Lab.

You will build research and production technology for AI-driven systematic trading, bridging quantitative research, low-latency engineering, and ML infrastructure to deliver monitored, resilient production strategies. The role focuses on turning ambiguous research requirements into clean interfaces and fast systems, while maintaining awareness of latency,

Qualifications

• Bachelor’s, Master’s, or PhD in computer science, engineering, mathematics, or related technical discipline (or equivalent professional experience).
• 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 other 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

ML infrastructure

Low-latency

Production debugging

Education

Bachelor’s/Master’s/PhD in CS/Engineering/Math

Tools

Linux

CUDA

PyTorch

JAX

Kubernetes

Spark

Kafka

GPU clusters

Job description

JPMorgan Chase & Co. is hiring for an Associate or Vice President in the Quantitative Trading & Research (QTR) group’s AI Market Lab.

You will build research and production technology for AI-driven systematic trading, bridging quantitative research, low-latency engineering, and ML infrastructure to deliver monitored, resilient production strategies. The role focuses on turning ambiguous research requirements into clean interfaces and fast systems, while maintaining awareness of latency,