Quantitative Developer (Low Latency Trading)

Contract Type:

Permanent

Location:

Singapore, Singapore

Date Published:

1. Mar-2026

Salary:

Overview

We are looking for a Quantitative Developer to join a high-performance trading technology team focused on building and optimizing real-time market-making systems across multiple crypto derivatives exchanges.

In this role, you will work closely with senior engineers and traders to design, build, and enhance latency-sensitive trading infrastructure, including execution systems, market data pipelines, and exchange connectivity. This position is ideal for engineers who enjoy solving complex performance challenges in event-driven, low-latency environments.

• Develop and maintain latency-critical components of the trading platform, including market data handlers, order routing systems, and quoting engines
• Optimize system performance by improving latency, throughput, and jitter across trading and market data pipelines
• Build and maintain exchange connectivity using WebSocket, REST, and FIX-style APIs
• Profile, debug, and tune system performance in cloud-hosted and distributed environments
• Develop internal monitoring and analytics tools to track latency metrics, order round-trip times, and market data delays
• Implement performance optimizations such as CPU pinning, garbage collection tuning, and asynchronous event loop improvements
• Contribute to automated stress-testing and load-testing frameworks to simulate exchange conditions and high market volatility
• Collaborate with traders to support strategy configuration, safeguards, and scenario testing

• 5+ years of experience building low-latency or high-performance distributed systems
• Strong programming skills in Python and at least one high-performance language such as Rust or C++
• Experience developing market data systems, order management systems, or internal order books
• Familiarity with low-latency programming techniques (e.g. lock-free structures, ring buffers, cache optimization)
• Hands-on experience with performance profiling and system tuning
• Good understanding of network latency and system-level performance factors
• Familiarity with exchange microstructure, including order types, rate limits, order book events, and trading halts
• Experience working with containerized environments (Docker) and automated deployment pipelines
• Experience with Pub/Sub or streaming frameworks such as Kafka, NATS, Redis Streams, or similar
• Prior experience working in crypto trading, market making, or electronic trading environments is highly preferred
• Familiarity with CEX API behaviours and exchange-specific quirks

Licence no. 16S8112