AI-Driven Quantitative Developer — Associate

Next Frontier Capital; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

J.P. Morgan in Singapore seeks a quantitative developer 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 turn raw market data and research prototypes into monitored production strategies. This role emphasizes turning ambiguous research requirements into clean interfaces, fast systems, and reproducible workflows while

Qualifications

• 2+ years of professional software/quant development in low-latency systems or ML infrastructure.
• Strong C++ skills with focus on performance and debugging.
• Proficiency in Python for 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 supporting historical data, reproducible experiments, distributed computation, and rapid strategy iteration.
• Optimize critical paths for throughput, tail latency, memory efficiency, resilience, and deterministic behavior with profiling.

Skills

C++

Python

Low-latency

Distributed systems

ML infrastructure

Education

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

Tools

Linux

CUDA

Kubernetes

PyTorch

Job description

J.P. Morgan in Singapore seeks a quantitative developer 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 turn raw market data and research prototypes into monitored production strategies. This role emphasizes turning ambiguous research requirements into clean interfaces, fast systems, and reproducible workflows while