AI-Driven Quantitative Trading Engineer

JPMorgan Chase & Co.; Greater London; On-site; GBP 140,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. in London is seeking an Associate or Vice President for the QTR AI Market Lab to build the research and production technology behind AI-driven systematic trading.

You will work at the boundary of quantitative research, low-latency engineering, and ML infrastructure, creating reliable platforms that shorten the path from raw market data to production strategies. The role focuses on turning ambiguous research requirements into fast, reproducible software while respecting

Qualifications

• Bachelor's/Master's/PhD in computer science, engineering, mathematics, or a related technical discipline.
• Relevant 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 to 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

Modern C++

Python

Distributed systems

ML infrastructure

Production debugging

Education

Bachelor's/Master's/PhD in CS or related

Tools

Kafka

Kubernetes

CUDA

PyTorch

JAX

Spark

Job description

JPMorgan Chase & Co. in London is seeking an Associate or Vice President for the QTR AI Market Lab to build the research and production technology behind AI-driven systematic trading.

You will work at the boundary of quantitative research, low-latency engineering, and ML infrastructure, creating reliable platforms that shorten the path from raw market data to production strategies. The role focuses on turning ambiguous research requirements into fast, reproducible software while respecting