Quantitative Developer

DUOTECH PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A financial technology firm in Singapore is looking for a senior developer to enhance and maintain its low-latency trading systems. The ideal candidate will have at least 8 years of experience in developing trading infrastructure, strong skills in Python, and C++/Rust, and knowledge of market-making stacks. Responsibilities include optimizing real-time data pipelines and working closely with traders to improve performance. This role offers an opportunity to work in a dynamic environment focused on innovation.

Qualifications

• 8 years building low-latency trading systems.
• Skilled in Python and C++/Rust.
• Experience with market-data handlers, quoting engines, and order books.
• Strong in latency optimization and performance tuning.

Responsibilities

• Implement latency-sensitive components of the market-making engine.
• Optimize latency, jitter, and throughput across real-time data pipelines.
• Build and maintain exchange connectors with robust performance.
• Profile, debug, and optimize system performance in cloud-hosted environments.
• Develop internal monitoring tools for latency analytics.
• Tune garbage-collection behavior and CPU parameters.
• Assist in creating automated stress-testing and load-testing frameworks.
• Work closely with traders on strategy parameters and testing.

Skills

Python

C++

Rust

Low-latency systems

Performance tuning

Market-data handlers

Quoting engines

Order books

Tools

Docker

Pub/Sub frameworks

Job description

Role Overview

You will support the senior systems architect and traders in building, optimizing, and maintaining the firm's real-time trading infrastructure. You will work on execution, quoting, risk systems, market-data handlers, and latency-critical components across multiple crypto derivatives exchanges. This role requires strong engineering fundamentals and hands-on experience with high-performance, event-driven systems

Key Responsibilities

• Implement latency-sensitive components of the market-making engine (market-data handlers, order routers, quoting logic)
• Optimize latency, jitter, and throughput across real-time data pipelines and execution paths
• Build and maintain exchange connectors (WebSocket, REST, FIX-like variaints) with robustness and micro-latency considerations
• Profile, debug, and optimize system performance in cloud-hostedenvironments
• Develop internal monitoring tools for latency analytics (e.g., ordeRTT, market-data delays, queue states)
• Tune garbage-collection behaviour, CPU pinning, async event loopss, and other performance parameters
• Assist in creating automated stress-testing and load-testing frameworks to simulate exchange conditions
• Work closely with traders on strategy parameters, safeguards, and scenario testing

Requirements

• 8 years building low-latency trading systems
• Skilled in Python and C++/Rust
• Experience with market-data handlers, quoting engines, and order books
• Strong in latency optimization, performance tuning, and low-latency techniques
• Familiar with exchange microstructure, Pub/Sub frameworks, and Docker deployments
• Prior experience in crypto and traditional market-making stacks