AI-Driven Quant Developer for Low-Latency Trading

JPMorgan Chase Bank, N.A.; Hong Kong; On-site; HKD 700,000 - 1,100,000; Full time

Job summary

JPMorgan Chase Bank, N.A. in Hong Kong seeks a Quantitative Developer Associate to design and build the research and production tech behind AI-driven trading.

You will bridge quantitative research, low-latency engineering, and ML infrastructure to deliver reliable platforms for data, models, and live strategies. You will implement high-performance C++ services, Python tooling, and scalable data pipelines, collaborating with researchers and traders to turn strategy ideas into robust software

Qualifications

• Bachelor’s, Master’s, or PhD in CS/engineering or equivalent experience.
• 2+ years in software engineering, quant development, low-latency systems, or ML infra.
• Strong modern C++ skills and Python proficiency.

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

Data pipelines

ML infra

Production debugging

Education

Bachelor's/Master's/PhD in CS/Engineering

Tools

PyTorch

JAX

CUDA

Kubernetes

Kafka

Spark

Ray

Job description

JPMorgan Chase Bank, N.A. in Hong Kong seeks a Quantitative Developer Associate to design and build the research and production tech behind AI-driven trading.

You will bridge quantitative research, low-latency engineering, and ML infrastructure to deliver reliable platforms for data, models, and live strategies. You will implement high-performance C++ services, Python tooling, and scalable data pipelines, collaborating with researchers and traders to turn strategy ideas into robust software