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Quant system developer

Ascend Pixel Sdn Bhd

Kuala Lumpur

Hybrid

MYR 100,000 - 150,000

Full time

3 days ago
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Job summary

A leading quantitative trading firm in Kuala Lumpur is seeking a skilled Quant Systems Developer. You will design and build ultra-low latency trading systems for equities and crypto. The ideal candidate has strong C++ skills, experience in low-latency optimizations, and a background in high-performance trading systems. The role offers competitive compensation and the opportunity to work with a dynamic team. Must be available during US trading hours: 3 PM – 12 AM.

Benefits

Competitive package with performance-based bonuses
Collaborative environment with quants and engineers
Opportunity to work on cutting-edge trading systems

Qualifications

  • 3–7 years of experience in low-latency trading systems or HPC.
  • Expert in C++ with multi-threading and lock-free data structures.
  • Strong skills in low-latency optimizations and networking.

Responsibilities

  • Build and optimize ultra-low latency trading systems.
  • Develop market data handlers and execution gateways.
  • Implement monitoring and disaster recovery systems.

Skills

C++17/20
Low-latency optimizations
Market microstructure knowledge
Linux systems programming
Build systems (CMake, Bazel)
Real-time data processing

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Build systems (CMake, Bazel)
Profilers (perf, gperf)
Job description

Job Description – Quant Systems Developer (Low Latency Trading)

Overview

We are looking for a highly skilled Quant Systems Developer to design, build, and optimize mid- to high-frequency trading systems for US equities and cryptocurrency markets.

This is a hands-on engineering role where you will work closely with quant researchers, traders, and infrastructure engineers to deliver production-grade, ultra-low latency trading systems operating at microsecond-level performance.

Key Responsibilities

System Design & Development

  • Build and optimize ultra-low latency trading systems using modern C++ (C++17/20).
  • Develop market data handlers, order execution gateways, and risk management modules.
  • Create backtesting and simulation frameworks to support quant research and strategy validation.

Performance Optimization

  • Profile and tune code for sub-millisecond execution and high throughput.
  • Eliminate network, kernel, and serialization overheads in execution paths.
  • Optimize order routing and feed handling across multiple venues and protocols (FIX, ITCH, OUCH, WebSocket, native APIs).
  • Partner with quant researchers to bring strategies from research into production.
  • Work with infrastructure teams on bare-metal deployments, low-latency networking, and time synchronization (PTP).

Monitoring & Reliability

  • Build fault-tolerant, high-availability systems with real-time logging, monitoring, and alerting.
  • Implement robust disaster recovery mechanisms for mission-critical trading operations.
Requirements
Technical Skills
  • Expert in C++17/20, including multi-threading, lock-free data structures, and template metaprogramming.
  • Strong experience with low-latency optimizations (NUMA, kernel bypass, RDMA, DPDK, TCP/UDP tuning).
  • Deep knowledge of market microstructure for US equities and crypto.
  • Familiar with market data protocols (ITCH, OUCH, FIX, WebSocket) and exchange APIs.
  • Skilled in Linux systems programming and network programming.
  • Hands-on experience with build systems (CMake, Bazel), profilers, and debuggers (perf, gperf, valgrind).
  • Experience with real-time data processing and event-driven architectures.
  • Understanding of mid-/high-frequency trading strategies and execution algorithms.
  • Familiarity with risk management and real-time position tracking.
Education & Experience
  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
  • 3–7 years of experience in low-latency trading systems or high-performance computing (HPC).
Preferred (Nice to Have)
  • Experience with GPU acceleration (CUDA) or FPGA programming for ultra-low latency workloads.
  • Proficiency in Python for integration scripts or data analysis.
  • Knowledge of cryptography and blockchain protocols.
  • Exposure to distributed systems and microservices architectures.
Soft Skills
  • Strong problem-solving and debugging skills.
  • Ability to thrive in a fast-paced, iterative development environment.
  • Clear communication and teamwork across cross-functional teams.
  • High ownership mentality with focus on reliability and performance.
What We Offer
  • Opportunity to work on cutting-edge trading systems for global markets.
  • Competitive package with performance-based bonuses.
  • High-impact role in a fast-growing quantitative trading firm.
  • Collaborative environment with quants, engineers, and researchers.
Work Schedule
  • Must be available during US trading hours: 3 PM – 12 AM, Kuala Lumpur time.
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