Quant Systems Developer

Reeracoen Recruitment; Kuala Lumpur; On-site; MYR 100,000 - 150,000; Full time

Job summary

A leading recruitment agency in Malaysia is seeking a skilled Low Latency Quant Systems Developer to enhance trading systems for US equities and cryptocurrency markets. The role involves developing ultra-low latency systems using modern C++, working with quant researchers, and ensuring high performance in real-time market data handling. Ideal candidates will have substantial experience in high-performance computing in trading applications, with a strong emphasis on collaboration and system reliability.

Qualifications

• Strong knowledge in C++ (C++17/20).
• Experience in designing low latency trading systems.
• Familiarity with market data handling and execution systems.

Responsibilities

• Build ultra-low latency trading systems for US equities and crypto markets.
• Profile and tune code for sub-millisecond performance.
• Partner with quant researchers to integrate trading strategies.

Skills

C++ expertise

Low latency architectures

Real-time data handling

High-performance computing

Job description

Role Overview

We are seeking a highly skilled Low Latency Quant Systems Developer to design, build, and optimize mid‑to‑high frequency trading systems for US equities and cryptocurrency markets. The ideal candidate will have deep expertise in C++, experience with ultra‑low latency architectures, and a proven track record in real‑time market data handling, execution systems, and high‑performance computing for trading applications.

This is a hands‑on engineering role, working closely with quant researchers, traders, and infrastructure engineers to deliver production‑grade trading systems that operate at scale with microsecond‑level latency.

Key Responsibilities

• Design & Develop
  • Build ultra‑low latency trading systems using modern C++ (C++17/20) for US equities and crypto markets.
  • Implement efficient market data handlers, order execution gateways, and risk control modules.
  • Develop backtesting and simulation frameworks to support quant research and strategy development.
• Performance Optimization
  • Profile and tune code for sub‑millisecond performance and high throughput.
  • Minimize network, kernel, and serialization overheads in critical execution paths.
  • Optimize order routing and feed handling for multiple venues and protocols (e.g., FIX, native APIs, WebSocket).
• Collaboration & Integration
  • Partner with quant researchers to integrate trading strategies into production systems.
  • Work closely with infrastructure teams on bare‑metal deployments, low‑latency networking, and time synchronization (e.g., PTP).
• Monitoring & Reliability
  • Build robust fault‑tolerant systems with real‑time logging, monitoring, and alerting.
  • Ensure high availability and disaster recovery mechanisms.